{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "gpuType": "T4",
      "authorship_tag": "ABX9TyO1V/erLRM9wlHL6qbj0fFF",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU",
    "widgets": {
      "application/vnd.jupyter.widget-state+json": {
        "c0aeb3f5c648410c9ade824d37b5ccd6": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_2633d4a0cad242a08a89ec03e1e34993",
              "IPY_MODEL_69bb59cf530241bab39faebb881fe57a",
              "IPY_MODEL_79168ad4310d4c28a1b05f97a0c5e010"
            ],
            "layout": "IPY_MODEL_2b2642769d6f4b21ae52d0d5f8287622"
          }
        },
        "2633d4a0cad242a08a89ec03e1e34993": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_5013036a17fa48d689c39395963d8f8c",
            "placeholder": "​",
            "style": "IPY_MODEL_5ca9189cb76247c3bb319b0357645bf2",
            "value": "Downloading (…)rocessor_config.json: 100%"
          }
        },
        "69bb59cf530241bab39faebb881fe57a": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_cdb985188b7d4702bc1e5fee4904ac13",
            "max": 479,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_cf265568c5734e589a328e9422abdf05",
            "value": 479
          }
        },
        "79168ad4310d4c28a1b05f97a0c5e010": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_b832abfc84ec46b6ab62116ad6496998",
            "placeholder": "​",
            "style": "IPY_MODEL_7a727f88f77d4646a955de91f748c7f6",
            "value": " 479/479 [00:00&lt;00:00, 30.0kB/s]"
          }
        },
        "2b2642769d6f4b21ae52d0d5f8287622": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "5013036a17fa48d689c39395963d8f8c": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "5ca9189cb76247c3bb319b0357645bf2": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "cdb985188b7d4702bc1e5fee4904ac13": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "cf265568c5734e589a328e9422abdf05": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "b832abfc84ec46b6ab62116ad6496998": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "7a727f88f77d4646a955de91f748c7f6": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "c1962d93cd2d4fca885ba43abf42d768": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_1cf1640972ab411b965007116a995d8f",
              "IPY_MODEL_7b99f0fccbb9425d81189ab6d888ff84",
              "IPY_MODEL_1029131628aa48efbfb494b5eb680622"
            ],
            "layout": "IPY_MODEL_e4fd57ee3e514c38bf9ada978b767bc6"
          }
        },
        "1cf1640972ab411b965007116a995d8f": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_81439de74212429199fe18e926704890",
            "placeholder": "​",
            "style": "IPY_MODEL_0e0d1b9c2c924b97a0fdfa17f4b02263",
            "value": "Downloading (…)okenizer_config.json: 100%"
          }
        },
        "7b99f0fccbb9425d81189ab6d888ff84": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_4b5f6c27dab046e8b6592ca6d96759f2",
            "max": 4485,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_128c6eb159094425a49bfa296bc54ae2",
            "value": 4485
          }
        },
        "1029131628aa48efbfb494b5eb680622": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_480f103078214dd68d6763539a0eb0f5",
            "placeholder": "​",
            "style": "IPY_MODEL_fd9831f4a1b34bb18fd0da38cbf7384e",
            "value": " 4.49k/4.49k [00:00&lt;00:00, 174kB/s]"
          }
        },
        "e4fd57ee3e514c38bf9ada978b767bc6": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "81439de74212429199fe18e926704890": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "0e0d1b9c2c924b97a0fdfa17f4b02263": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "4b5f6c27dab046e8b6592ca6d96759f2": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "128c6eb159094425a49bfa296bc54ae2": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "480f103078214dd68d6763539a0eb0f5": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "fd9831f4a1b34bb18fd0da38cbf7384e": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "f6b75af9d8144693880a1bdc50e1a385": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_3b193156dd4d4da98e2153f2d7dab827",
              "IPY_MODEL_0ed7ef1815c04a50bbfd3b3c4208162f",
              "IPY_MODEL_3e2b073e04ea4b04b1854e89e9788410"
            ],
            "layout": "IPY_MODEL_ab84638065574f59b1e5b3e63156403d"
          }
        },
        "3b193156dd4d4da98e2153f2d7dab827": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_dfff330ec97244c1acb45eeb9070fcab",
            "placeholder": "​",
            "style": "IPY_MODEL_3a06a5b38deb4e99837151f92ddcc4f9",
            "value": "Downloading (…)/main/tokenizer.json: 100%"
          }
        },
        "0ed7ef1815c04a50bbfd3b3c4208162f": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_aa3f8a78ff364d3d93a55d6edd7c89ca",
            "max": 2140013,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_3392c1f46f934de1bc37f96e580e6101",
            "value": 2140013
          }
        },
        "3e2b073e04ea4b04b1854e89e9788410": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_3a077bc3054d45e2a8652bd100ed2c34",
            "placeholder": "​",
            "style": "IPY_MODEL_06f5223a53664af9878002ecb1bd438c",
            "value": " 2.14M/2.14M [00:00&lt;00:00, 10.5MB/s]"
          }
        },
        "ab84638065574f59b1e5b3e63156403d": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "dfff330ec97244c1acb45eeb9070fcab": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "3a06a5b38deb4e99837151f92ddcc4f9": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "aa3f8a78ff364d3d93a55d6edd7c89ca": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "3392c1f46f934de1bc37f96e580e6101": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "3a077bc3054d45e2a8652bd100ed2c34": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "06f5223a53664af9878002ecb1bd438c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "40e67328c8ba40d69f439babdfdcc568": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_1f2e1d53901a40a289c795212048deff",
              "IPY_MODEL_a191f43392b64878a1d9acb9f63e679b",
              "IPY_MODEL_d931ab8dd34f48bbb6bed84ae7d95765"
            ],
            "layout": "IPY_MODEL_608dbbf1096e4c8f9ec93955d05dd316"
          }
        },
        "1f2e1d53901a40a289c795212048deff": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_c2b6ff106a2c4e84a662dec905151b65",
            "placeholder": "​",
            "style": "IPY_MODEL_e39356ac52264dcfbb91878c2139ecf6",
            "value": "Downloading (…)cial_tokens_map.json: 100%"
          }
        },
        "a191f43392b64878a1d9acb9f63e679b": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_b5a8f2e92efd4905920fd26175d8b05c",
            "max": 96,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_e1f0ae609e8d4db0b12040ac0f36b11a",
            "value": 96
          }
        },
        "d931ab8dd34f48bbb6bed84ae7d95765": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_f35df958a0f5471aa85c2ef772476b14",
            "placeholder": "​",
            "style": "IPY_MODEL_058783ecc36f4c4d83db821f188a0852",
            "value": " 96.0/96.0 [00:00&lt;00:00, 5.60kB/s]"
          }
        },
        "608dbbf1096e4c8f9ec93955d05dd316": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "c2b6ff106a2c4e84a662dec905151b65": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "e39356ac52264dcfbb91878c2139ecf6": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "b5a8f2e92efd4905920fd26175d8b05c": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "e1f0ae609e8d4db0b12040ac0f36b11a": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "f35df958a0f5471aa85c2ef772476b14": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "058783ecc36f4c4d83db821f188a0852": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "23669570c1ed42dd8bf4726282385f68": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_bd280adca1c745bfa13c12f3dc038add",
              "IPY_MODEL_0329eceba660420ab652403374696702",
              "IPY_MODEL_0055ec6b22fb4c21bdbb3dced77e4254"
            ],
            "layout": "IPY_MODEL_9909c29157d846a19a854ae864b22fd4"
          }
        },
        "bd280adca1c745bfa13c12f3dc038add": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_59bf3d110b9d444fa3d5aab2b3bddea9",
            "placeholder": "​",
            "style": "IPY_MODEL_711ec15594b54acf9f2485c45e3e11e1",
            "value": "Downloading (…)lve/main/config.json: 100%"
          }
        },
        "0329eceba660420ab652403374696702": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_8b2bdc45ce1c4c7bb3289e2ad0769be8",
            "max": 4768,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_42998945cbf345e79a0fd1df0739ec7e",
            "value": 4768
          }
        },
        "0055ec6b22fb4c21bdbb3dced77e4254": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_4067203adfd74e7ca9ef98a2289816f1",
            "placeholder": "​",
            "style": "IPY_MODEL_565d159ffaa04e6b851f4f90a5da5ce2",
            "value": " 4.77k/4.77k [00:00&lt;00:00, 271kB/s]"
          }
        },
        "9909c29157d846a19a854ae864b22fd4": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "59bf3d110b9d444fa3d5aab2b3bddea9": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "711ec15594b54acf9f2485c45e3e11e1": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "8b2bdc45ce1c4c7bb3289e2ad0769be8": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "42998945cbf345e79a0fd1df0739ec7e": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "4067203adfd74e7ca9ef98a2289816f1": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "565d159ffaa04e6b851f4f90a5da5ce2": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "cd6367e6bf484e5e9c89b5cc602aa15f": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_f7e4e10bc52a40b18f3caeb32d028fb2",
              "IPY_MODEL_89f517acac814d5c9e578c33da452c4c",
              "IPY_MODEL_ac706d52142b434fa411414b88aa54a7"
            ],
            "layout": "IPY_MODEL_2d37af585bb44203a1991ebdf5d1144d"
          }
        },
        "f7e4e10bc52a40b18f3caeb32d028fb2": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_fb189d71197f4a39a2be409b62423f00",
            "placeholder": "​",
            "style": "IPY_MODEL_1a13a79ef345486a935115a6d980035b",
            "value": "Downloading pytorch_model.bin: 100%"
          }
        },
        "89f517acac814d5c9e578c33da452c4c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_67edea307a514b99ae3c7100a2f7e21c",
            "max": 990082973,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_60d743dae56c4a1faeb5d2bf8dcc3555",
            "value": 990082973
          }
        },
        "ac706d52142b434fa411414b88aa54a7": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_8d64b8f124e440dcacd0d51ed91c0383",
            "placeholder": "​",
            "style": "IPY_MODEL_b6ae2df3edb9465a8f944c575f7e2d09",
            "value": " 990M/990M [00:20&lt;00:00, 53.6MB/s]"
          }
        },
        "2d37af585bb44203a1991ebdf5d1144d": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "fb189d71197f4a39a2be409b62423f00": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "1a13a79ef345486a935115a6d980035b": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "67edea307a514b99ae3c7100a2f7e21c": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "60d743dae56c4a1faeb5d2bf8dcc3555": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "8d64b8f124e440dcacd0d51ed91c0383": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "b6ae2df3edb9465a8f944c575f7e2d09": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "68f1f03c9eb4495ca42086c513182fda": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_de7db97e4783412eb2d6e04366e9f57a",
              "IPY_MODEL_4a7efd8cdf66403bbda741de16b4b557",
              "IPY_MODEL_9379ea7d785a42dcb77ea32c8859e0fe"
            ],
            "layout": "IPY_MODEL_a4a1bb16c0634cf58780daa2afca9255"
          }
        },
        "de7db97e4783412eb2d6e04366e9f57a": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_b2402ee523b145a7af5bb6af004b98cf",
            "placeholder": "​",
            "style": "IPY_MODEL_286b357a901648b999950bddc1e0df1c",
            "value": "Downloading (…)neration_config.json: 100%"
          }
        },
        "4a7efd8cdf66403bbda741de16b4b557": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_ba52a45107904eb8966764c0ebe1f976",
            "max": 165,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_4449c723513945b8850c828ac6809d55",
            "value": 165
          }
        },
        "9379ea7d785a42dcb77ea32c8859e0fe": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_beab19966a17449f90454fc3bbc88828",
            "placeholder": "​",
            "style": "IPY_MODEL_b44b27267935489bbe24da1f83372743",
            "value": " 165/165 [00:00&lt;00:00, 7.27kB/s]"
          }
        },
        "a4a1bb16c0634cf58780daa2afca9255": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "b2402ee523b145a7af5bb6af004b98cf": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "286b357a901648b999950bddc1e0df1c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "ba52a45107904eb8966764c0ebe1f976": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "4449c723513945b8850c828ac6809d55": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "beab19966a17449f90454fc3bbc88828": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "b44b27267935489bbe24da1f83372743": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "77fc3ed84ccd4c5896a40de45ba8103a": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_a47e81f081ef46f2ba2141c06df19737",
              "IPY_MODEL_3a5601b0e11e4b5cb12e81e43a2de4e0",
              "IPY_MODEL_b0090a95c4d94c6f8d13c4610e8bad8b"
            ],
            "layout": "IPY_MODEL_b9039de2b30f4509b5b63efca2c1377f"
          }
        },
        "a47e81f081ef46f2ba2141c06df19737": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_b0a9771a5d6447608edcc5ac27c22385",
            "placeholder": "​",
            "style": "IPY_MODEL_b9330e4e8e68446281f65549edb724e4",
            "value": "Downloading nougat.pdf: 100%"
          }
        },
        "3a5601b0e11e4b5cb12e81e43a2de4e0": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_c6b9f6a231d84514b661f8912d20fc8a",
            "max": 4133781,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_876ce397c7fb44c2bec5ebd6f75d39a9",
            "value": 4133781
          }
        },
        "b0090a95c4d94c6f8d13c4610e8bad8b": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_73f683c61fc5426498ddab24bcf90fb7",
            "placeholder": "​",
            "style": "IPY_MODEL_44262afeca924d7d8811b04b4a95de1e",
            "value": " 4.13M/4.13M [00:00&lt;00:00, 8.74MB/s]"
          }
        },
        "b9039de2b30f4509b5b63efca2c1377f": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "b0a9771a5d6447608edcc5ac27c22385": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "b9330e4e8e68446281f65549edb724e4": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "c6b9f6a231d84514b661f8912d20fc8a": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "876ce397c7fb44c2bec5ebd6f75d39a9": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "73f683c61fc5426498ddab24bcf90fb7": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "44262afeca924d7d8811b04b4a95de1e": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        }
      }
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/Nougat/Inference_with_Nougat_to_read_scientific_PDFs.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Inference with Nougat to read scientific PDFs\n",
        "\n",
        "In this notebook, we'll perform inference with Nougat, a Donut model trained by Meta AI to transcribe scientific PDFs into a common Markdown format. Docs for Nougat can be found [here](https://huggingface.co/docs/transformers/main/en/model_doc/nougat).\n",
        "\n",
        "<img src=\"https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/model_doc/nougat_architecture.jpg\"\n",
        "alt=\"drawing\" width=\"600\"/>\n",
        "\n",
        "<small> Nougat high-level overview. Taken from the <a href=\"https://arxiv.org/abs/2308.13418\">original paper</a>. </small>\n",
        "\n",
        "## Set-up environment\n",
        "\n",
        "Let's start by installing 🤗 Transformers and [pymupdf](https://github.com/pymupdf/PyMuPDF), a library which we can use to read PDFs as images. We install Transformers from source here since the model is brand new at the time of writing.\n",
        "\n",
        "We also install Levenshtein and NLTK as those are required for postprocessing."
      ],
      "metadata": {
        "id": "_RQE4mYILsBa"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install -q pymupdf python-Levenshtein nltk"
      ],
      "metadata": {
        "id": "X3W7IwamMSbj",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "352f55dd-a61b-4ad1-f378-a43ce3b575c6"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m14.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m30.6/30.6 MB\u001b[0m \u001b[31m51.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m172.5/172.5 kB\u001b[0m \u001b[31m18.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.1/3.1 MB\u001b[0m \u001b[31m82.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_hVvdfEJLi10",
        "outputId": "778f9642-43de-4288-ac9a-dc09e8ca2468"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
            "  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m294.9/294.9 kB\u001b[0m \u001b[31m5.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.8/3.8 MB\u001b[0m \u001b[31m45.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m77.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m268.8/268.8 kB\u001b[0m \u001b[31m30.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Building wheel for transformers (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n"
          ]
        }
      ],
      "source": [
        "!pip install -q git+https://github.com/huggingface/transformers.git"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Load model and processor\n",
        "\n",
        "Next, we instantiate the model and its processor from the hub."
      ],
      "metadata": {
        "id": "uUwx02BjLuZa"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from transformers import AutoProcessor, VisionEncoderDecoderModel\n",
        "import torch\n",
        "\n",
        "processor = AutoProcessor.from_pretrained(\"facebook/nougat-small\")\n",
        "model = VisionEncoderDecoderModel.from_pretrained(\"facebook/nougat-small\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 259,
          "referenced_widgets": [
            "c0aeb3f5c648410c9ade824d37b5ccd6",
            "2633d4a0cad242a08a89ec03e1e34993",
            "69bb59cf530241bab39faebb881fe57a",
            "79168ad4310d4c28a1b05f97a0c5e010",
            "2b2642769d6f4b21ae52d0d5f8287622",
            "5013036a17fa48d689c39395963d8f8c",
            "5ca9189cb76247c3bb319b0357645bf2",
            "cdb985188b7d4702bc1e5fee4904ac13",
            "cf265568c5734e589a328e9422abdf05",
            "b832abfc84ec46b6ab62116ad6496998",
            "7a727f88f77d4646a955de91f748c7f6",
            "c1962d93cd2d4fca885ba43abf42d768",
            "1cf1640972ab411b965007116a995d8f",
            "7b99f0fccbb9425d81189ab6d888ff84",
            "1029131628aa48efbfb494b5eb680622",
            "e4fd57ee3e514c38bf9ada978b767bc6",
            "81439de74212429199fe18e926704890",
            "0e0d1b9c2c924b97a0fdfa17f4b02263",
            "4b5f6c27dab046e8b6592ca6d96759f2",
            "128c6eb159094425a49bfa296bc54ae2",
            "480f103078214dd68d6763539a0eb0f5",
            "fd9831f4a1b34bb18fd0da38cbf7384e",
            "f6b75af9d8144693880a1bdc50e1a385",
            "3b193156dd4d4da98e2153f2d7dab827",
            "0ed7ef1815c04a50bbfd3b3c4208162f",
            "3e2b073e04ea4b04b1854e89e9788410",
            "ab84638065574f59b1e5b3e63156403d",
            "dfff330ec97244c1acb45eeb9070fcab",
            "3a06a5b38deb4e99837151f92ddcc4f9",
            "aa3f8a78ff364d3d93a55d6edd7c89ca",
            "3392c1f46f934de1bc37f96e580e6101",
            "3a077bc3054d45e2a8652bd100ed2c34",
            "06f5223a53664af9878002ecb1bd438c",
            "40e67328c8ba40d69f439babdfdcc568",
            "1f2e1d53901a40a289c795212048deff",
            "a191f43392b64878a1d9acb9f63e679b",
            "d931ab8dd34f48bbb6bed84ae7d95765",
            "608dbbf1096e4c8f9ec93955d05dd316",
            "c2b6ff106a2c4e84a662dec905151b65",
            "e39356ac52264dcfbb91878c2139ecf6",
            "b5a8f2e92efd4905920fd26175d8b05c",
            "e1f0ae609e8d4db0b12040ac0f36b11a",
            "f35df958a0f5471aa85c2ef772476b14",
            "058783ecc36f4c4d83db821f188a0852",
            "23669570c1ed42dd8bf4726282385f68",
            "bd280adca1c745bfa13c12f3dc038add",
            "0329eceba660420ab652403374696702",
            "0055ec6b22fb4c21bdbb3dced77e4254",
            "9909c29157d846a19a854ae864b22fd4",
            "59bf3d110b9d444fa3d5aab2b3bddea9",
            "711ec15594b54acf9f2485c45e3e11e1",
            "8b2bdc45ce1c4c7bb3289e2ad0769be8",
            "42998945cbf345e79a0fd1df0739ec7e",
            "4067203adfd74e7ca9ef98a2289816f1",
            "565d159ffaa04e6b851f4f90a5da5ce2",
            "cd6367e6bf484e5e9c89b5cc602aa15f",
            "f7e4e10bc52a40b18f3caeb32d028fb2",
            "89f517acac814d5c9e578c33da452c4c",
            "ac706d52142b434fa411414b88aa54a7",
            "2d37af585bb44203a1991ebdf5d1144d",
            "fb189d71197f4a39a2be409b62423f00",
            "1a13a79ef345486a935115a6d980035b",
            "67edea307a514b99ae3c7100a2f7e21c",
            "60d743dae56c4a1faeb5d2bf8dcc3555",
            "8d64b8f124e440dcacd0d51ed91c0383",
            "b6ae2df3edb9465a8f944c575f7e2d09",
            "68f1f03c9eb4495ca42086c513182fda",
            "de7db97e4783412eb2d6e04366e9f57a",
            "4a7efd8cdf66403bbda741de16b4b557",
            "9379ea7d785a42dcb77ea32c8859e0fe",
            "a4a1bb16c0634cf58780daa2afca9255",
            "b2402ee523b145a7af5bb6af004b98cf",
            "286b357a901648b999950bddc1e0df1c",
            "ba52a45107904eb8966764c0ebe1f976",
            "4449c723513945b8850c828ac6809d55",
            "beab19966a17449f90454fc3bbc88828",
            "b44b27267935489bbe24da1f83372743"
          ]
        },
        "id": "5AIxP4dgLrvB",
        "outputId": "697978b8-5104-4c36-a29a-246f347bdcbe"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)rocessor_config.json:   0%|          | 0.00/479 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "c0aeb3f5c648410c9ade824d37b5ccd6"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)okenizer_config.json:   0%|          | 0.00/4.49k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "c1962d93cd2d4fca885ba43abf42d768"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)/main/tokenizer.json:   0%|          | 0.00/2.14M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "f6b75af9d8144693880a1bdc50e1a385"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)cial_tokens_map.json:   0%|          | 0.00/96.0 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "40e67328c8ba40d69f439babdfdcc568"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)lve/main/config.json:   0%|          | 0.00/4.77k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "23669570c1ed42dd8bf4726282385f68"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading pytorch_model.bin:   0%|          | 0.00/990M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "cd6367e6bf484e5e9c89b5cc602aa15f"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)neration_config.json:   0%|          | 0.00/165 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "68f1f03c9eb4495ca42086c513182fda"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "We also move the model to the GPU if it's available. I used \"capture\" below to avoid printing the entire model."
      ],
      "metadata": {
        "id": "o6BhywDx7PPp"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "%%capture\n",
        "device = \"cuda\" if torch.cuda.is_available() else \"cpu\"\n",
        "model.to(device)"
      ],
      "metadata": {
        "id": "b7kTBYwP7LXG"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Load PDF\n",
        "\n",
        "Below we load a sample PDF, and then use the fitz module to turn it into a list of Pillow images (one for each page)."
      ],
      "metadata": {
        "id": "0VE00mShL4mk"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from huggingface_hub import hf_hub_download\n",
        "\n",
        "filepath = hf_hub_download(repo_id=\"ysharma/nougat\", filename=\"input/nougat.pdf\", repo_type=\"space\")\n",
        "print(filepath)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 67,
          "referenced_widgets": [
            "77fc3ed84ccd4c5896a40de45ba8103a",
            "a47e81f081ef46f2ba2141c06df19737",
            "3a5601b0e11e4b5cb12e81e43a2de4e0",
            "b0090a95c4d94c6f8d13c4610e8bad8b",
            "b9039de2b30f4509b5b63efca2c1377f",
            "b0a9771a5d6447608edcc5ac27c22385",
            "b9330e4e8e68446281f65549edb724e4",
            "c6b9f6a231d84514b661f8912d20fc8a",
            "876ce397c7fb44c2bec5ebd6f75d39a9",
            "73f683c61fc5426498ddab24bcf90fb7",
            "44262afeca924d7d8811b04b4a95de1e"
          ]
        },
        "id": "597j9aFEL5Lw",
        "outputId": "a7a57130-fe18-495e-a048-42e3806c87db"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading nougat.pdf:   0%|          | 0.00/4.13M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "77fc3ed84ccd4c5896a40de45ba8103a"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/root/.cache/huggingface/hub/spaces--ysharma--nougat/snapshots/a6d4607a70fcab8ea3e8bda96a2686943b81e7d8/input/nougat.pdf\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from typing import Optional, List\n",
        "import io\n",
        "import fitz\n",
        "from pathlib import Path\n",
        "\n",
        "def rasterize_paper(\n",
        "    pdf: Path,\n",
        "    outpath: Optional[Path] = None,\n",
        "    dpi: int = 96,\n",
        "    return_pil=False,\n",
        "    pages=None,\n",
        ") -> Optional[List[io.BytesIO]]:\n",
        "    \"\"\"\n",
        "    Rasterize a PDF file to PNG images.\n",
        "\n",
        "    Args:\n",
        "        pdf (Path): The path to the PDF file.\n",
        "        outpath (Optional[Path], optional): The output directory. If None, the PIL images will be returned instead. Defaults to None.\n",
        "        dpi (int, optional): The output DPI. Defaults to 96.\n",
        "        return_pil (bool, optional): Whether to return the PIL images instead of writing them to disk. Defaults to False.\n",
        "        pages (Optional[List[int]], optional): The pages to rasterize. If None, all pages will be rasterized. Defaults to None.\n",
        "\n",
        "    Returns:\n",
        "        Optional[List[io.BytesIO]]: The PIL images if `return_pil` is True, otherwise None.\n",
        "    \"\"\"\n",
        "\n",
        "    pillow_images = []\n",
        "    if outpath is None:\n",
        "        return_pil = True\n",
        "    try:\n",
        "        if isinstance(pdf, (str, Path)):\n",
        "            pdf = fitz.open(pdf)\n",
        "        if pages is None:\n",
        "            pages = range(len(pdf))\n",
        "        for i in pages:\n",
        "            page_bytes: bytes = pdf[i].get_pixmap(dpi=dpi).pil_tobytes(format=\"PNG\")\n",
        "            if return_pil:\n",
        "                pillow_images.append(io.BytesIO(page_bytes))\n",
        "            else:\n",
        "                with (outpath / (\"%02d.png\" % (i + 1))).open(\"wb\") as f:\n",
        "                    f.write(page_bytes)\n",
        "    except Exception:\n",
        "        pass\n",
        "    if return_pil:\n",
        "        return pillow_images"
      ],
      "metadata": {
        "id": "j7TbKLYY6XHq"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from PIL import Image\n",
        "\n",
        "images = rasterize_paper(pdf=filepath, return_pil=True)\n",
        "image = Image.open(images[0])\n",
        "image"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "J_KK2HcB7uwK",
        "outputId": "658e12f3-2bcd-4c05-f9cb-df3d86312158"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=794x1123>"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAxoAAARjCAIAAABnqMWCAAEAAElEQVR4nOzdd1wUuf8w8CxLEysgSFUEwYYFQQELih0VQcSCvfcuoiJi11POiopiw95RpFhPVBAQEBFQBJHeey/b8vyR3+WZ7+6CyNru7vP+g9cyO5tJMsnsZ2cyGRbGGAEAAAAAgKaS+tUZAAAAAAD4Z4NwCgAAAABAIhBOAQAAAABIBMIpAAAAAACJQDgFAAAAACARCKcAAAAAACQC4RQAAAAAgEQgnAIAAAAAkAiEUwAAAAAAEoFwCgAAAABAIhBOAQAAAABIBMIpAAAAAACJQDgFAAAAACARCKcAAAAAACQC4RQAAAAAgEQgnAIAAAAAkAiEUwAAAAAAEoFwCgAAAABAIhBOAQAAAABIBMIpAAAAAACJQDgFAAAAACARCKcAAAAAACQC4RQAAAAAgEQgnAIAAAAAkAiEUwAAAAAAEoFwCgAAAABAIhBOAQAAAABIBMIpAAAAAACJQDgFAAAAACARCKcAAAAAACQC4RQAAAAAgEQgnAIAAAAAkAiEUwAAAAAAEoFwCgAAAABAIhBOAQAAAABIBMIpAAAAAACJQDgFAAAAACARCKcAAAAAACQC4RQAAAAAgEQgnAIAAAAAkAiEUwAAAAAAEoFwCgAAAABAIhBOAQAAAABIBMIpAAAAAACJQDgFAAAAACARCKcAAAAAACQC4RQAAAAAgEQgnAIAAAAAkAiEUwAAAAAAEoFwCgAAAABAIhBOAQAAAABIBMIpAAAAAACJQDgFAAAAACARCKcAAAAAACQC4RQAAAAAgEQgnAIAAAAAkAiEUwAAAAAAEoFwCgAAAABAIhBOAQAAAABIBMIpAAAAAACJQDgFAAAAACARCKcAAAAAACQC4RQAAAAAgEQgnAIAAAAAkAiEUwAAAAAAEoFwCgAAAABAIhBOAQAAAABIBMIpAAAAAACJQDgFAAAAACARCKcAAAAAACQC4RQAAAAAgEQgnAIAAAAAkAiEUwAAAAAAEoFwCgAAAABAIhBOAQAAAABIBMIpAAAAAACJQDgFAAAAACARCKcAAAAAACQC4RQAAAAAgEQgnAIAAAAAkAiEUwAAAAAAEoFwCgAAAABAIhBOAQAAAABIBMIpAAAAAACJQDgFAAAAACARCKcAAAAAACQC4RQAAAAAgEQgnAIAAAAAkAiEUwAAAAAAEoFwCgAAAABAIhBOAQAAAABIBMIpAAAAAACJQDgFAAAAACARCKcAAAAAACQC4RQAAAAAgEQgnAIAAAAAkAiEUwAAAAAAEoFwCgAAAABAIhBOAQAAAABIBMIpAAAAAACJQDgFAAAAACARCKcAAAAAACQC4RQAAAAAgEQgnAIAAAAAkAiEUwAAAAAAEoFwCgAAAABAIhBOAQAAAABIBMIpAAAAAACJQDgFAAAAACARCKcAAAAAACQC4RQAAAAAgEQgnAIAAAAAkIj0r87AL+bu7p6bm0tes1is9evXKyoq0nc/fPhw7do1+q+lpeXw4cN/dhZ/GKHSGRsb29nZMVdgVg5CaNeuXVJSvzj+fvv2rbe3N3mtpKS0fv36r34kOjr61q1bb968qaioYLPZGhoaVlZWU6dObdGixXfM2NmzZ0+cODFy5Mj9+/dLntqdO3fevXtHXovuF9F1KHl5+a1btyKEcnNz3d3d6XIdHZ2FCxc2IScRERH379+n/44bN87c3LwJ6fxuCgsLDx8+TP/t3r37tGnTyOuwsLC1a9dqaGicO3euTZs2Pzon4eHhZ86ciYmJUVZWNjU1dXR0bN68+Q/d4tSpU11cXAwNDX/oVoj9+/eXl5eT1woKClu2bPmhm5OkGwp1GYLFYrVq1UpNTc3U1LRz587fKZvgXwr/t71586ZDhw60NkaOHMnn8+m7tbW1wcHBvXr1kpaWvnr1amlp6S/MagNu377dhE9VVlY6OjrSsrPZ7BcvXjBXSE9PP3DgAEJo1KhRsbGx3ymzEqmsrJwzZw7JcPv27RteubCwkAQiHTp0ePbsWV1dXW1t7ebNmxFCKioq169flyQnzDovKiqigWZwcLAkyRKZmZm9e/cmCc6aNUvsOkVFRRcvXmT25StXrmRlZZF3eTxeXFzc1KlTEUIrVqxIT09vWk44HE5sbGz79u3JJg4fPty0dL4Jj8e7d+/eD92EQCBIS0sbN24cKdf48ePpW7169SILd+/e/UPzgDF+/PixvLw8Qig8PPzChQsIoQkTJvzQLSYmJiKElixZ8kO3QhUWFu7YsYPUZ6tWrX7otiTshjweLzo6ul+/frRDjRgxwtvb+/z580OGDEEI9enT57v07n+isLCwJh9D/jv+6+EUxjghIUFOTo52oY0bNwqtcPv27X79+v2SvDXG06dPJQmLaXRCggzRPtOtW7eHDx9KlsfviZT3q+FUVlZWx44dEUItW7b88OED861Zs2aRFI4cOSJJHui/XC5XVVWVpBkdHd20NIU4Ozs3HE4RBgYGZDUDAwPRd/Pz8xFCFRUVEmbG2tr6Z4ZTLi4uFhYWP2FDhw4dEg2nJkyYQBYePXr0R2fA2NiY/JLBGJPYt23btj90i+QXVPPmzcvLy3/ohqioqKifE059l25IglqC+ZNp2bJlZOG0adPq6uq+U5b/GXJyclRUVAIDA391Rn53MHYKGRgYtG7dmv67f//+O3fuMFdo164d+QX5G0pNTSVH4SYzNTWlrwsKCiZMmFBbW8tc4XcrvrT0169QCwQCOzu7lJQUhND06dO7devGfHf37t3khZOT06dPn741A6J1Li0tfenSpalTp54/f56e25BQY4qJEKKXLMVellJRUZGSkpL8siaLxZIwhcbz9fXds2fPz9mW2HIdOHBg1qxZW7ZsWbJkyQ/denl5+du3bxFCbDYbIbRo0aKBAwfu3bv3x22Ry+WSM5pVVVWXLl36cRti+mmN57t0w/ou7x46dIhcx7h27VrTrpv/Q3E4nIkTJxYUFPzqjPwDQDj1fzZs2EBfz5kz58OHD/Tfn/ld8k0yMzOHDx9eVFQkYTqTJ0+mV3Pevn0r9C3y2xa/AdeuXXvz5g15bW9vL/Sutra2iYkJQojD4SxcuBBj3PiU66vzUaNGXb9+fe7cuRLkGqDnz59PmTLlm/bId9epU6eLFy/u3r1bVlb2h26osLCQ+a+lpWVQUNAP/aq+f/8+/V48ceLEj9vQr/LjuqGcnNyUKVPI60uXLoWEhHz3TfyGOByOvb39f6SwkvuvD0WnnJycMjIybty4gRCqqqqysbGJjIxsYCCqr6/v3bt309PT27RpY2FhsWzZMnLwDQ0NvXLlCllHXV3dxcXl+fPnd+/epR/8888/mzVrRl7HxsYeO3YsKSmJw+EoKyuPGDGCDIQ3MDAgl/AjIiI8PDxycnIKCgpUVFSGDRu2cOFCci4tJyfHwsKCnIBBCC1fvhwhtGfPHpLnPXv2+Pr62trabtq06atlb9u2rY+Pj7m5OTkvdfHixb59+5IExYqMjDxz5syXL1/k5OSsrKyWL1/OYrEKCwu3bdtG1/njjz9KS0v/+OMPumTx4sU9e/aMioo6d+4cWdKqVat9+/ZduHDh5MmTrVu39vDw0NfXb7jUjXT69Gn62sLCQnQFS0vLyMhIhFBwcHBwcLC5ufmaNWvot/iqVatCQkJu375dXl4+aNCgzZs3t2rVCtVT5+vWraPXjBBCLi4u6urq5DXG+MqVK0+fPk1OTpaVlbWzs1u0aBFpJwKB4P79+1evXq2srCwuLtbW1p48ebK9vX0jT0o1QXx8/PHjx+m/7u7ud+7cuXPnzpcvXwYOHLhr1y5SRiIpKenw4cNv3rzR09MjY9vFun379r1793Jzc9u2bTtv3rzRo0cjhCoqKpitztXVNSkpafv27SUlJTt27Bg7dixCyMfHx9PTs7i4WFdX18TEJDY29vz58y9evBg7dixphJ8/f16+fLmqqippVBkZGcePH4+NjS0uLm7WrJmRkdGKFSt0dXURQjweT2jflZaWnj9/Pjw83MDAYNeuXfR6KEKosrLywIEDz58/b9GihdiTTy4uLiUlJeT1lClTLCwsHjx48PjxY7KkU6dOy5YtO3HixMOHD6urqydNmrRq1Srm/Rm+vr5XrlzJy8urra3V19e3tLQku3vQoEHMMZoIoRcvXpw5c4a85vF4y5cvb9GiBR1AXd/hpTF12wBPT8/58+eTDhgfH//y5cvBgweLXTMlJeXUqVOfPn3KzMzs0aOHo6MjHbremO555syZ+/fvl5SU2Nra1nf7DpfLPXr0aFBQUEVFha6urpOTE9lTzF3g4ODQrl27U6dOBQcH6+rqzpkzZ9SoUdXV1YcPH378+DGLxZo9e/a8efMQQkLHn0Z2w29iZ2dHxpIihM6dO9e/f3/ymsfjnT59OjAwsLi4WEtLy8bGZuLEiUKfffXq1Y0bNxITE6uqqiwsLBwdHVVUVJglnT9/fp8+fdavX08vDgwdOnTixIlC5XJ1df3w4cPVq1ffv3/ft2/f1atXd+nSJSUl5ejRo8HBwWpqas7OzjRjDVRyY1q1QCCYMGFCQEAAWe3IkSO3b9+eM2dO3759eTze0aNHfX19McZdu3bt3r07c5Dcf9cvvND4+1BVVS0oKKiurqbjfxFCVlZWZFh6UFAQcyQHj8ebP38+Qmjt2rUCgcDf3x8hZGxsTEYdcTicFStWkBTIcBaBQODl5UWTLSkpIemcPn2axWLJyMh8+fKlrq7OyMgIISQjI6Orq+vi4oIxJp/auHGjQCAoKysjAZaurm5eXh7GOCUlhdl83d3d3d3dKysrMcbPnj2jy1+9etVw2T08PJYtW4YxZt7lJy0tHRQURFYYOnQo86r5hQsXZGRkhg8fzufzyYZsbW3JWyQYJXJycjDGnz9/JhcyEEJkcDGPx9u3bx9Zoqqqyoy3Jk6c+NVSY4wDAwPJ+vWNnaqsrKQbVVJSErvOwYMH6Xa3bt2KMU5OTpaRkSFL7OzsRo4cuWbNGnLM7dq1a8N1/vz5c7qQjtkvLi4m4YWPj09NTQ05H+bg4EDeJUPWAgICMMaJiYkklLGxseHxeGQFV1dXkmDDY6f69OlDVqtveJ+UlBR9zRy67uLi0rNnz7Zt25J/hw8fTleLiIhQVlZGCOnr62/dunXgwIFkFBr637FT5DzKrl27MMbkji36blBQEN3QqVOn6FeXsrIyxpjcP7V161Yul/vx40dDQ0MNDQ2McXBw8PTp08maenp67u7uly9fxhi/f/++devWAwcOrKur4/P5JIqVk5OjTTQpKYnGNE5OTh07dqQhVNu2bWmPKywsJNXVsmXLTZs2WVtb9+jRg6xGx05lZ2fT8Tfu7u4YYy6Xu2DBArLEzMxs1KhR5ubmtKns2bOHVgi5N7B79+41NTVpaWnkV1OrVq10dXX9/PyE9kt0dDS9zY3NZru7u589exZ/7fDy1bptQHJycr9+/UpKSui1e3t7e7Fr3rx5s2XLlv3796+uriYjH5o1a/bu3TvciO4pEAhmz55N0p8/f/7ixYvp4G7m2KnCwkIzMzOEUFBQEJfLHTx4cIsWLcgOTU1N1dLSIh9ZtWqVnp4eGWGGEJKSknr69Gn//v0HDBhA+/i5c+dImk3ohqLu3btHExG6xYeGPqTIZGF2djYpiI+PD8aYXOWYPn06h8OhFUIWrl+/ns/nk28HfX39ioqKz58/07s4yZ0xpaWltE2uWrVKtFxbt241MDAgPyQQQmpqaqGhofr6+vQ4IC0tHR8f/9VKbkyr5nA47u7u9Fb3lStXuru7JyQkYIxJvPj48WPSRFu1ajVt2rSGm99/AYRTGP8dTmGMU1NTyRcJsWXLFiwSTtFTEaRhYYw1NTURQqNHjyb/+vn5kRXo6GDmWX1ycM/IyCDnIQYMGEDW2bVrFzlehIeHkyXa2tqIEazQ+7q3b99OltDTJOh/w2Lm2C/SyRtAwymMMXPeAVVV1czMTPy/4VRGRgYZtn/hwgWyhFQX2UplZSX9OAmnMMbdu3cnS+i9WnS4krS09JQpU548eUKCidWrVzem1F8NpxISEmg2xA7QxhhfvnyZrjNz5kyhrNKjLbkNkOatgTqnX1H0OD5z5kyEkImJCfmXDLdisVjV1dXJyclkZTrYefz48WQJvbnyR4RTmZmZNPP79u3DGBcWFtJjaGpqKsZYIBDQcSefPn3CGJeVldGvNxow0TaWkpKCMY6Li0MINWvWjO73du3akRV69+4dGhras2dPhFCvXr0EAgE5k/H27VuyZnJycocOHchrOhCY2eNITaqqqpIhwHR6iMGDB9N19PT0yEIbG5uamho+n0++OBFCXl5eZJ1Vq1aRJadPnyZL6BB75lD0UaNGkYUknMIY0/PNcnJypC/4+vqSJTTnN2/eJEvIQQNjPHToUISQpqZmWVmZ2F0THx9PPiIrK0sXfvXw0kDdit0KtXnz5pMnT2LG3SfS0tLZ2dlCq3369Ik0CX9/f8zoTZs2bcKN6J40HJk6dapQiZjhFImJaRcm502NjIwEAgH++9saIWRiYlJcXIwxXrx4MVmirKzMDOwQQqampjTZb+qGYmupgXAKY0yDV3l5ebKENCE1NTXyb1JSEllh//79ZMn58+dJVZMbw+mJ88ePH+O/70VAf4dTtGYQI5zCfx9mEUKLFi3i8Xh8Pp+OB+3bt29hYSHGmEax9G6qhiu5Ma0aY0zHgdBvAXJvQevWrelvv0uXLkE4hWEoupAOHTrcvn2b/u7Zs2cPc9IdhFBlZSX5npOVle3UqRNZSL6GHz16RH5G0I9Toktev37N4/EQQvSnMHkhEAiYrRwhRA9ndEDx+/fvGy6FtbW1lZUVm822tbUdM2ZMI8r9f/bv3z9ixAjyOj8/387OjsPhMFf4888/6+rqEEI6OjpkiYqKCkLo7NmzYospdiFdwuPxnJycRowY8fr168uXL5NBuE0uNVVVVUVf13eJkLmcrk8zNnnyZPKC1t7p06fJ/qqP0IxckZGRJGKjI/1tbGxkZGTGjx/frFkzelCmkSUtZkxMTIOFkwhzX5BfycrKyvSaCAnyHj9+TKq6S5cuZKKdVq1a0aCNItE/QogcbUkzqKmpuX79utC2Zs6caWZm9uzZs7Nnzz58+DAvL6+srAwhtGDBAnLTfseOHZknKUWRJlFUVESGrImtK7q5BQsWyMvLS0lJ0e+bL1++IIRKSko8PT3JEhsbG/KCRDwN1JLQku7du5N75umVr7S0NIFAgBCipxBorEN6dFZWFvPsQsMac3hB9ddtAynzeLzr1687ODgghJYuXUoX0guO1Pr167lcLvq76err6xsaGrZu3Zqc4/lq96TnnukNkpaWlkKbKCgoIFGF0GHk3bt30dHRzAJOnDiRnB3p2rUrWWJqakquIXTp0oUsoT9O0Dd2wwaqqz70gjifz0cIvXz5koQgtD3o6uqSkG7nzp3l5eW1tbVOTk4Ioc6dO5NjjqWlZZs2bXR0dMhJu8Z8WTAXzp07l81mS0lJkXERCKHJkyeTYItWEamQxldyA61aLLL3y8rKZs+eXVpaihCaOnWq6PXN/yAYOyXM0tLy4MGDa9asIf/OnDmTOd3f+/fvyTkYRUVF2nVpH3v9+rXYA7QoBQUF8oJ+SZNDGPq7oyKEfHx8AgICyK+fwsJCchMQc4X6yMrKBgQECASCb511k81m37x508TEhHTI8PBwenswQe95vnPnTlhYGEKIzNEXGxv7TRsiWCwWucRpaGhIe3KTS00xzy+Sb25RzPP25CgjFv1lVltbm5aWRk+BfNXLly/JCyUlJfJi6tSpEyZMIN9GmpqaT548iY+PJ9e2Pn/+TE96Nb6Y3wsdrUU2HRERQf6lR2FRXC6XnI6SkZEho0lo2C0aDpKzRCoqKuQalkAgUFZWLioqevfuXdeuXWfMmLF9+/aG707du3dv9+7de/Xqpa6uXltb++rVK2aGG1muuLg4MipFXl6eRjxNxhziRjpaY3r0V33r4UWobhvg5+dnampKBlb269evT58+pC+fPn3a2dmZFgdjTJsuiWNYLFZMTAyXyyW/ARrunnw+n547bKD9xMXFkVrKy8sjkTQ9URcbG0uOCUIaCDsaqN6Gu+G34vF49B4UNTU1hFBwcDD5lx5zWCxWixYtamtrq6qq3r9/r6CgQC5N0Azo6+vn5uY2LQNMX62QJlSyaKsWu2n6Q+Xq1au+vr7r1q1bt26d2KmG/2sgnBJj9erVUVFR5EbiysrKVatW9e3bl7xFTycwRzLSI+nHjx8buYkRI0Z06NAhLS0tLS2NLKFfqCNHjiQvunXrZmBgcPfu3ZUrV5aUlNCzCI3UtBnMFRUVfXx8zMzMyDmbc+fOMX/GkR/6BDmgkHvam3YPFIvFEr1tUMJSI4S0tLQUFRVJwEQmXhLFXM4cMCekZcuW9HVWVlbjwykaX5JfbwTzGDpixIh+/fqdP3/+4sWL2traNTU1jUxZSMP3XfL5/G89cNOrFcyR6ULS0tLIIZvL5bZs2ZKM/yDX6WgASgm1QykpKU9Pz6lTp3K5XIFAcOnSpVu3bl29erWBw7GKisqaNWtev349c+bM8PDwQYMGfVOJCNp0GyiXJObNm3f06FGBQJCamkqWkBeysrKNz/C3Hl4a38dPnz6tqqpK70XQ0NAg4VR2draPjw89tZCenk4v2ZeVldGIiuan4e6ZkZFBg8gG6pnui8rKSnIYUVNTIyex6CXa7+Kr3fCb5Obm4r/veCBjkpiXa+lqdH/Fx8fTbX2XDHyTH1fJPXv2pPfflJeXb9++/cKFC48ePaLnC/+zIJwS7/Tp0x8/fiQ3fzG/6ui1OeZPIvqaDuz9Knl5eT8/vwkTJsTExJw8eVJPT49Eb1u3bqXDaBISEmxsbBISElauXHnkyBFPT096bfuHMjQ0vHjxIp1fgFn81q1bZ2dnI4R69OjBnP/zO5K81FJSUuPHjyfDrktLS6urq+kBjqKjiKSlpRu4Hsq81qmhodH4PNAYNCMjQ+wK9+/fnzt3bmlp6a1btyZNmjRlyhRyBv5b0Q0xj9dUdnY2HbXaSPQXqtB1XibmpdLhw4d/68M37OzsgoOD161b9/r1a4RQbW3tzJkzBw4cSDuXkKqqqilTpvj7+/fv3z88PDwnJ4feHNp4jSmXJAwNDa9fv75w4cIrV66MHj06IyMjKipKXl7e29u7vnKJ+l6HFyEZGRkxMTFLly6ljcTU1PSvv/4iXfvEiRM0nGL+dsrIyGA+cYtouHsyT280pv3weLwfdBghvtoNvwnzqiKZNOGr+4ueqvwuGfgmP7SSDx48aGxsvGXLFvKbIS0tbebMmfTE9n8WjJ0ST15e/t69e6LHQXpNqrq6mi6kr+lNGY1haGh46NAhQ0PDzMzM2NjYvXv3fvr0aefOneTdkpISS0vLhIQEBQWFgwcPfuuppqCgoE2bNpGvqyaYOHEiHYXNRC/Ykyt9352Epab27t1LfxzTG32ZyA1TCCEnJyfREyoUPbfPZrOFbnRvGD0f/uzZM+ZYLuL169eTJk0qLS0dPnz4pEmTGp+sKDI0GCGUk5Mj+m5SUhLdZY1E12deDxWioqJCq5fO79VIeXl5L1686NevX3Bw8OPHj0koVl1d3UA69vb2ZH+5ubl903wZTHQoUnl5+Q+6ompra7t582Y9Pb13795VVFRcunQpMzPTysqq8Sl8x8ML09mzZ2fMmOHyv+gF1sDAQHreS1VVlV6W8vHxEUrnq91TU1OTDgZvoP3QNpaXl0dPz/8IDXfDb0XvMerTpw85mUr3iNj9ZWhoSMczlZaWMm/J/Al+XCWHh4enpKRMmzYtMTHRw8ODHAoiIyPpwxn/syCcQgghgUAgNBU4QkhLS+vu3btC8wB17NiRTKNSXl5Ouw05YaOkpER+5NEjPv19Rk+AI8Zvl4ULF44fP97V1XXv3r2Ojo4LFixg/sp/9uwZ+YKUkZEhhy3mfXME80JPdXV1TU0NmUrk48ePlpaW+/fvHzJkCBnt+61lRwjt3r1b9LQN/RV7584d2kWLi4sXLVqEMZaTk6PnsUXLLvodhkVma2xMqRtDQ0ODzhDDnACCePv2Lbmkpa+vT2+gY6JH3tDQUPJi6tSp5Han+upciK2tLfleqaysZE7KkJycnJaWdvXqVfKzlX73NK2YiDGquqKigt7zSJ04caKRg/ko+vUfFRVFdxmN1egSem3O3d2d3J2AEHr37p3ohOZCezknJ2fjxo3k9ciRI0NDQ8mAHvKXVi/pXAkJCa9fv3706BFZSKv0m0pEGBkZkUseAoGAju/JysoSKleTVVRUmJubb9682c/Pz9nZef369TNmzGAO42sAraLGHF7EfrABXC739OnTM2bMEFpObnkjmMNDyXB1hBCZXIouDwwM/Gr3ZLFYZMQ6YgzCI/lHjEo2NDSkX/Z//vkn/biXlxcNWb6LhrvhNyWVnp5ORnarqqreuXOHNFQ7OztyypA+Kr66upqM1xw8eLCBgUH37t3JfZcIoZ07d9KTVfT3QwNfFhK2ye9VyUJd8v79+yEhIadOnUIIycjILFmy5MGDBwghWVlZ0YsA/zm/8K7C30RWVpaUlBSZ4UbUyZMn0f/eth0fH08Gi5A7XUtLS0mPpXMHlJaW0oZ14sSJR48emZub0wo/e/Ysj8cjlxERQp07d16wYMGqVatWr169Y8cOb29vcvcp837dJUuW7Nmzhw5TMDY2Jk/irK2tpcMPly1bNm7cuOfPn2PGHbAIoZs3bzZc/CVLlnTt2lXsU6hKS0tJh6S3yPL5fDrSSEdHx83Nbe/evd26dSNVgTEeMGAAeXfRokUvXryYMWMGjUfnz59PpsWi40PR38MRqMaUmt5LLy8vX1tbW1+5BALB2rVryZpnzpyhy4uKisg1fh0dHaFn+dEDn66u7ocPH9LS0kjxmzVrRqdyEVvnZWVl9KDz7NkzsiZ9lA0pi5+f34kTJ4YNG1ZaWkrv2JeXl9+/f//8+fPphLFLliwh94HTBwtaWlo2sPsEAgG9OtyzZ8+MjAy6p3bs2GFoaFhVVUVXpmEEQigpKQljzOPx6Piwa9eukdXoPVl79+6tqKhwdXWlRR49ejRJMD09nTbygQMHnjx50tHRsUuXLuQZzLW1tTSwvnHjBjPDJA90rqCKioqWLVtqamqSZOmUabKysnv27BkwYAAdy4UQGjJkyMmTJ2kLlJGRefLkSU1NjUAgoBVIZm/CGNMfA2Tie4zxsWPHyBIbG5vS0tJ79+7RG9NUVVXpFA/03nU65QGNNjQ1NckS5nUNMtcA/caysLBYsmTJqlWr1qxZs3///pCQkPr2HXN+uKKiIrLwq4eXBupWrEOHDrHZbNHnNjJnb5GWliaTYmCMi4qK6M0ZBgYGHh4eDx48cHBwOHv2bGO6Z1RUFGktHTp0SE9Pj42NZU6jSo8kzJmNZ8yY4enpOXv27KFDh5KjH52IkkzQijF2cXEhS+iUB/Sss4yMTE1NDcb4W7uh2OqiBw309+wPXC73+fPnJBafOXMmmVKHIoM05OTkyHQYT548QQgpKCjExcWRFV68eEFP440YMeLmzZtXr14dOnQo6eZ07rFBgwY9e/Zs9+7d9AJl7969SZusqqqis5nQiW8GDhxIljg6OpIl9MEegwYNakwlN6ZVY8YhfejQoevWrXN1dT18+HCzZs1iYmLICuR4/qMf3f2P8F8PpxYvXkxObrNYrOHDhycnJ4uus2DBAqEHsiYmJvbr109HR2ffvn0WFhZqampkjhbq/PnzdHBi586dSYNTV1e3sLCYPn16dHT058+fUT169+5dXl7O5XLpeQVpaekdO3Z8+fKF9DQ2m33q1CmyIXoyQEZGhj7QNy8vj9y7pKWlRaYkEevVq1dkQCVCSFtbm0xEJCQ+Pr5ly5bMaTyLi4vpbD2kUMwHJEdGRpLjDkKoTZs2Xl5e/fr1a926db9+/ezt7W/duhUREUEvuyCEunTpcv78efrxr5Y6MDCQOZ6DHjjq8/DhQxMTEykpqYkTJ544cWLDhg26urotW7Z0dHSksztSNJzas2cPHXWupaVFZwITW+cFBQX0TgWEUIcOHT5//kzW9PDwYP5is7e3J9+aaWlpdCantm3bent73759m/yrqqoaEhJy8OBBGoZKSUk5Ozs3UEYul3vkyBHyxSYvL29iYjJgwABVVdWVK1cyD/0fPnxgPruwS5cuBQUFzBOQWlpa5BuxqqqKhmgIocWLF0+fPp3NZhsYGIwdO/bQoUMkwbi4OObg0z59+nz58gVjTKaSp8uVlJTWr19Ps/Hu3Tt1dfXevXvb2to6Ozv36tWLbhdjzOfz6emNtm3bvnz5EmPMnJbd3t6+sLCQXhSbN29edXU1c95tZWXlFy9e7Nu3j4aAzZs3J/MtYYx37txJv9v69+9PZiHX0tIaOnToggULMGPyHoRQixYtyK5hDlqyt7fPzs5mtmFjY+OioiLRGQeo+fPni+61v/76i5mIoaEhnRG0gcNLw3UravXq1STC6Nq1K3PG0Z07d9LWTmhoaJBJrjHGGRkZzGcJtGvX7s6dO7gR3ZN8PCAggMboWlpaZHZfZWVlc3Pz6dOnkzgeY3z37l3mpVsHBwcSUjNv81RQULh16xZzTRaLtWHDhpiYGDq1LELIwsIiKyvrW7uhkIyMDGtra9HLESoqKp06dZo1axb5sSrq4cOH6urqgwYN+uOPP3R0dExMTOicYURQUBBzREHv3r1pLFJaWkoHhktJSa1bt27t2rWysrI9e/a0trbeuXNnQUEBc09paWklJCRs3ryZNuMWLVrcvn37ypUr9Po7m82mraK+Sm5kq8YYP3nyhM416uDgwOVyDx8+bGhoSE4ErF27VkNDw9zcXHQCs/8gFv6lj8f6R+BwOE+fPhV9gEN+fv779+91dHTEDk/Jzc2NiYnR1tbu0qULxjg5OZnZWBFCZ8+e3bJli9hbzw4dOrR27VqM8Zs3b/h8vpGRETkclJaWvn37tmfPnsx7+9PT01NTU7t06cIc6VVaWhoTE2NkZMS8N61pwsLC2rdvLzQQu7Cw8N27d82bNzcxMRG6ra+yspIMwu3du7esrOznz5/19PQaPwqqkaX+Junp6ZGRkfn5+QoKCh07djQzM6O/9ph69epF7vO/d+/euHHjYmNj5eTkhB6fTBMUrXOxuFxubGxsfn5+9+7d6TgnhFBVVdWbN2/atm3bvXt38sWfnp6ekpLSt2/fpp0zr6uri42NTU5Orqys1NfX7969Ox0E0zSZmZmfPn3q2bOnqqrqly9f1NXVxWYsJSXl06dPGhoajXzobHl5eUFBgZ6eXk5OTlxcXKtWrXr16iX0jO3Y2NiKiopevXrR43hCQkJGRoaRkRG5fMbhcMLCwjQ0NIT6VGOUlZVFRkbq6Ojo6enl5uay2ewmtyum2trarVu3Hj16lHlln4qKihJ7a3oDGj68/AR5eXnR0dGtW7c2MTFhzqTQmO7J4XAiIiIUFBR69OjB5XKzsrLE7ik+n//hw4fs7OwuXbo0MLGC5Orrht9RUlJSSkpKjx496O9J0RUSExPbt29PfwwQfD4/Ojq6vLy8T58+rVu3Tk9PV1FRadq0WGJJXsnFxcUfPnxQV1cnOzElJUVRUbFNmzYJCQnJycnt27fv2rVrk8e5/ptAOPVrJCQkTJ06lc1me3p60oaYk5Nz7NixR48eOTk50ad3gZ+GGU7Z2tr+6uyAfxIfH58lS5aMGzeOzmqNMf78+bOzs/OXL18ePnxIz7oBAP6VYKKEX8PDwyM6OvrYsWPM+aZ79+7NZrMfPXokOo8w+Jno2GoAGmnbtm25ubmrVq1i3n9nZGT07t27w4cPM0dPAgD+leAE3a9hZ2fXrFmzo0ePPnr0qKSkhMvl5uXl+fj4rF+/fseOHfBD9ucrLy+nA9r++uuvX5sZ8I9Dbp3buHFjZGRkRUUFmUb/1KlTV65c8fHxafL8DgCAfwq42PfLpKWleXt7R0dHFxUVycrKtmvXrnPnzlOmTGnCPOBAQlVVVXPnzmXOTKOjo3Po0KGfM38x+HeIjIz08fH58uVLSUlJ69at27Vr17dv3wkTJtARYACAfzEIpwAAAAAAJAIX+wAAAAAAJALhFAAAAACARCCcAgAAAACQCIRTAAAAAAASgXAKAAAAAEAiEE4BAAAAAEgEwikAAAAAAIlAOAUAAAAAIBEIpwAAAAAAJALhFAAAAACARCCcAgAAAACQCIRTAAAAAAASgXAKAAAAAEAiEE4BAAAAAEgEwikAAAAAAIlAOAUAAAAAIBEIpwAAAAAAJALhFAAAAACARCCcAgAAAACQCIRTAAAAAAASgXAKAAAAAEAiEE4BAAAAAEgEwikAAAAAAIlAOAUAAAAAIBEIpwAAAAAAJALhFAAAAACARCCcAgAAAACQCIRTAAAAAAASgXAKAAAAAEAiEE4BAAAAAEgEwikAAAAAAIlAOAUAAAAAIBEIpwAAAAAAJALhFAAAAACARCCcAgAAAACQCIRTAAAAAAASgXAKAAAAAEAiEE4BAAAAAEgEwikAAAAAAIlAOAV+O2lpab86C42FMU5PT+fxeAghLpdbV1fXwMplZWV8Pv8n5CorK6u2tpa8rqio+AlbBD9IbW1tSkoKaWBFRUVi1+FwOJWVlT83X0C8nJycwsJChBD520jFxcUSrgB+BxBO/ab27NkjLS3NZrOtrKyCgoK+uv6ZM2fYbPaAAQOavMWsrKxp06ax2Ww2m7158+bx48cPHjz48ePHCKHg4GB5eXk5ObnGpCMQCCZNmsRms11dXb81DzU1NS9fvrx27VpxcXFERMQ3l+EnKisrmzdv3rhx40JCQry8vKZMmTJu3Lh3797Vt35RUZGGhoadnZ1AILC2tmaz2Xv37s3KyurcuTObzX79+rXkWeJyuVu2bBkwYMCTJ0/u3r07e/bsyZMn37x5U/KUG+PAgQNsNnvkyJHMAv6cTUvOxMTEwMBgy5YtysrKbDZ77ty548aNk5aWjomJaXJjltyePXvmzZsXFxfn4uLSs2fP69evi11t0KBBurq6HA5H9K3v28B+W4mJiePHj2ez2bKysps2bVq4cGHfvn3PnDlT3/pZWVl9+vRhs9kBAQFN22JcXJzQkqSkpCFDhvj5+T19+nTYsGEWFhb0rdjY2AaSOnPmjLKy8t27d+tb4eHDh8rKykeOHGlaVsHPg8HvqkOHDgih+/fvN2blkpIShFC/fv0k2WJSUhJtFdnZ2QghNpudnZ2NMdbV1ZWSkmpkOrdv30YIOTs7NyEP9+7dGzFixI4dO4qLi5vw8Z+jurq6c+fO6urqVVVVZEl6erqamlpoaGh9H6mrqxs+fLibmxvG+PLlywihXbt2YYznzZuHEAoKCpI8V6NGjWKz2enp6eTfyspKIyOjM2fOSJ5yY2RkZCCEhg4div+3gP8II0eOLC0txRhraGgghJ4+fYoxnj9/fnR0tCSNWRLk50RKSgr5d/v27e7u7mLXdHR0tLe3ry+d79jAfmfkh5+SkhL5t2fPngihK1eu1Lf+unXrEEK+vr5N2Nb+/fvXrVsntHDMmDGzZs0ir/Pz87t27UpeBwcHm5mZNZDay5cvzc3N3717V98KHz58MDc3J20S/M7g7NTvi81m079UTU1Nampqamoqh8PJyclJTU3NzMxkroAxJiuQeAghVFRUFBQUlJWVRdcpKCgIDg4uKipiLhTalrq6ury8PJ/Pz83NFc3bp0+fIiMjmZeukpKSoqOjMcbM1UpKSl6/fl1dXU2XZGdnh4SEkGsTRUVFJP8Y4+jo6Jqamtra2qioqBEjRnTv3j0sLKyxNfXT7d69OyEhYeLEiQoKCmSJtra2m5sbiThJ/ZeXl5eUlJDXPB6vqKjozJkzM2bMaDhlZv2Q/Zubm8vlciMiIsjlg5KSkpCQEHotj7p27drjx4+HDh2qra1NljRv3vz06dPS0tIknfz8fNp46LUhHo8XHR2dkpJCUk5NTSXRGFmNbDErK4u8rq2tfffuXXV1dcMt8J9o0aJFrVu3Flq4fPnyli1b0n9FG3NmZmZoaCipTFpppaWl5eXlb968qampQQilpaVFRkbSjwgEgujo6MjISHL9jnzw7du3cXFxpObpmuSUxrFjx8hpp7Vr13bq1Im8VVlZGRYWRi4AlZSULF++3M3NjX4wOTn59evXZWVlYktaWloaEhKSl5fX+Dz/I9CeSJDfom/evKFLmDuL6d27d4mJicwlzIOb6DHq0qVLmzdvLi8vz8nJYX4qNjb26dOnMTExCCEVFZVt27YhhKKjo21sbCorK1NTU8nOZdY/Qqiurq59+/bXrl3T1dWtq6sju6O6ujo3NzcsLEwgEGCMFRQUrl27ZmJiQj7C7LPg9/JrojjQCLq6ukjk91NRURH54RUREfH06VOEkIaGBmacnRIIBOvWrSNXfPh8vpWV1R9//HH//n0pKakdO3ZgjENCQrp16xYYGDh79myh39y0i3K53CtXrsjJyW3cuJFmhsQKPB7P1tZ29erVp0+f7t+/f11dXUVFhZWVlaurq6Ojo46OTmFhIflBP3ToUBsbG1lZ2f79+5NE/vzzz0GDBgUHB+vq6iYmJr59+1ZGRkZNTW3atGkIoenTp5PVmvaT8Wciu+DYsWOibwkEgpkzZyKE3NzcEhMTO3bsiBD6/Pnz1atXEUKkKuo7OyVUPzdu3EAI9ezZc8GCBVpaWs2bNz9//vzEiRNlZGRGjhwptF0HBweE0NKlS0WzdPbsWYTQmDFjiouLx40bhxAip6zi4+M7d+7s6+s7ePDgcePGffjwQVZWVkFBQSAQuLi4IISmTZuGMXZ3d0cIjRw5skePHgiho0ePim2B/+izUxTz7BRRX2NevXq1lZVVSEiItra2v7+/QCBYunQpQsjW1nbSpEnNmjUzNDQ8efLkkCFDEEL79u3DGD969KhPnz7h4eFjx47t0KEDiZ9sbW23bt1648YNNTU1LpdLt0u+mBFCHTp08PT05HA4ZLm3t7ehoeHr16/btm174MCBjx8/tmrVivTZjIwMAwODp0+fbtmyRUFB4eHDh/h/G9i1a9c6deoUERFhZma2c+fOxuT5n4KMiCBnp2pra3V0dFgs1rNnz8i7QjsL/312yt7efvXq1QihNWvWYHEHN9FjFKnPgQMHenl5MTNgZ2eHEGKxWA4ODvHx8WQh6QgaGhr79u3jcDhC9Y8xLisrmzp1KjlclJeXDxs2DCE0e/bsESNGIISWLFkiEAgWLVqE/j4/KtRnf2IFg6+DcOr3JTacwhiTjh0REYExVlBQEAqn0tPTV61aRQ6+5DcQ+VbT09Nr06YNxnj58uVKSkrR0dE8Hs/Hx4eZMg2n/vzzzxEjRvTp04eeLafh1MWLFxFCr1+/JqcuLl++7OjoiBDKysoih/jPnz+Tb6AVK1ZgjK2srBBCKSkpX758YbPZe/bswRh379593rx5+O9vr/j4+IMHD5LD3D8CGUZ26dIlse+SQRvkut6YMWNIOFVQUNBwOCVaP2SfGhgYCAQCEtOQ6JYMy8jPz2dutE+fPgihzZs3i+bn8+fPJJzCGJPTGCScMjEx6dSpE8b4wIED3bp1wxhraGgoKCjgv680kXCKfLx9+/aFhYWOjo4JCQliW+C/O5wSasze3t4IoQsXLmCMR44cqaSkVF5efu/ePYTQggUL8N9fro8ePeJwONLS0t27d8cYL126VE5OjsPhXLlyhQSmpBMtXbq0rq7Ox8eHz+czM3P27Fl5eXnSJfv161dcXJybm9uiRQuyiTFjxpDouVu3biScunXrFmlL5Hyhra0tZjSwzMxMeXl5ckFq3759pBd/Nc//FCScUlBQWLFiRdeuXbt16xYeHk7eEruzSDhFhlIMHz4cIfThwwfRgxsWOUb5+voihEQv9uXn59Ohq1JSUuTgQG4E6dOnD8ZYbP3j/z1cODs7I4TOnTuHMVZXV2/ZsqVAIGBebhbts+D3ARf7/lUKCwuHDBmSmJgoLS2NEFJVVY2Pjx8zZszevXtLSkrIdYrRo0cXFxcbGRnNnTuXOV6Saf369U+ePMEYz5gx4/z588y3yGHr3Llzhw8ftrCwqK6uDggIYLPZGhoa/fv3LygooJckyI9mcrmktLQ0LCyMz+f/9ddf27Zt09HRkZWVJaspKCh06dJl3bp1JPL4RyAX1MgxVyAQeHp6mpqa9urVy87OLioqqmlp1lc/LVq0YLFYLVq0QAi1adOGLEEICV3NIVc3SktLG7m5wsLCyMjI9u3bI4Q2bNjw4cOHhtc3NDRUVlZ2c3MzMDD4lmL9Swg15kePHiGElJWVEUJKSkrFxcX0LgSyJtlHrVu3lpGRkZWVJZHxgQMHwsPDvb29yRdkdXW1srJynz59PDw8OnfujDGWkvr/B2Q+nz9//vzExMQlS5bIyMiEh4fv27cvKCiosrKS7Gt/f/+TJ08yM2lnZ/f+/XsOh3Pw4EGSPvPdoKCg2tpammeE0LNnz76a538WeXn5MWPGxMfHJyUl0Ui0gZ1Fhjd06dIFIRQZGSl6cCOrNeYYpaysHBQUdOPGjW7dugkEgrlz55aXlzNXaKD+hdDGVlFRwRxQ8a19FvxkEE79k3h4eDQ8iYCsrKylpeWjR4+OHTuGEOJyufv27bO3t589ezb5JkYIjR079v79+/r6+pcvX96xY0cDqRkZGSGEyBhPihzxR44cuXv37pcvXy5atIjH4/H5fKFhWKLIB/X19Xfs2OHn5+fh4fHV8v62yNUQMnJfSkqKjLyJiYkhp/SalqaE9UMuEzT+CEvG7vyD5qT4rcjIyKC/dxmLxUIIkR8wDYuMjBw9enRKSsrEiRPpwkePHi1evDg9Pd3e3p45FcLu3burqqq0tbU9PDyioqKkpaXfvHlD9lpqaqrY9HNzcxcsWHDs2LElS5Z8rzz/41hZWc2cOZPD4UybNo1MXPLVgpOgqnXr1qIHt0ZutLa2dtu2bSwWa8qUKbGxsdOnT+fz+UK/rCSvf+izvzkIp35f5HcJ/nt0ampq6uHDhzt06NC2bVuEUFVVVW1trUAgYP58adWq1bFjx/T19Z2cnKKjo318fC5dujRs2DBVVVUyyBQhtHTp0mHDhsXFxVlZWQnd7kuTEggECCEyHJVc4KAsLS0RQteuXcMYl5aWPn/+fOTIkQihw4cPI4RqamrqGyPZv39/GRkZf3//srIyjPH9+/eFNvoPsm/fPhUVlWvXrtGRreSnMDli0h1E/zamjPXVTyMtWbLE2Ng4KCiIOYj46tWr9+7dU1RUlJKSEsqPmpqaoaHhly9f/P39EUIpKSnV1dVt27blcDhcLlc028zXDbTAfzpSFtL+G2BjY4P+ngiqsLBQU1OT/PZo2PLly3NycmbNmkXPW8TFxZ0/f/7UqVOvXr3i8XgJCQl05erq6tOnT5PX3bt3V1dX79u376BBg+Tl5e/evUsu5wlFz3v37o2IiJg8eTKXyxXduoWFRatWrWieWSzWP+h88FeRXUbip6NHj7Zr1y4uLm7z5s2owZ1Fdndqamrr1q0HDRokenBjrkaQ2Ku2tvbz58/Mej5//jy5tCclJTV06FB5efnu3bvTlauqqjp27Chh/Yvts02qLfBj/MILjaAB5HQ9Qmjo0KEHDx5csmRJ8+bNBw4ciDGOiIhQUlLS09Nbt25dy5YtdXR0Hj165OnpiRAig6IWLlyIENLX14+IiGjVqpW0tPTKlSsHDRqEELp+/fqUKVNmzpx55coVc3NzMliVyM7OnjNnDtno8uXLp02bZmpqSkYABAcHk+PC3bt3BQIBWU1PT8/BwaGioqK4uJicGjExMXF2dq6pqSGDMPr27fvx40cdHR3094X/06dPy8jIKCsrjxgx4uPHj0+ePCG/1ci4gX+W1NTUsWPHWlpa+vv7P3jwQFlZefDgwVFRURjj6upqAwODNm3azJ07t0ePHmpqart37ybTxigqKn748IEcRs3NzRMSEvT09NDfQ3OE6ufo0aMIoVatWsXFxZGvBAsLi48fP2ppaSGE9u/fL5Sl0tLSBQsWtG3bdtWqVfv37587dy4d3TVjxgxpaWlbW9uxY8e2bt166tSpVVVV0dHRHTt2lJGRGTZsGBlX6+HhISsra25uvnjxYjk5OXNz88TERDIsXUlJ6dGjRyQ1sS1w//79CKG2bdt+/PiRFrCiouLn7RLJlJaWkhEtCKHx48eTkWF8Pr++xrxnz57hw4d7e3t36dIlJCSEz+eTc059+vRJSEggl0SdnJzIaH02mx0cHLx8+XKEUK9evXbu3En6S2hoqL6+vpub2+7du4cPH87j8Wh+Nm7cqKOjs3Xr1r/++mvNmjXW1taVlZUY42vXrjVv3rxNmzYTJkwIDQ19/fp1s2bNEEK3bt26ceMGm81WUVHZv3+/kpJSmzZtnj9/zmxgAQEB3bp18/PzMzU19fT0bEyef9He+DaJiYkTJkwg+87V1bWuro6MCUMIeXp6YpGdhTHesGHDnDlz5s2bd+nSJU1NzYCAAIyx6MFN9BhVXl6uoaHRvHnzQ4cO0QzU1NS0bdu2f//+3t7eN2/eHDhw4N27d8lb5OaPmTNncrlcofonK5CxU3/++WdBQQG5fW/SpElv374lAzRv375NitavX7+KigrRPgt+Hyz8v3e2g38EDodTUFCgqalZUVHBvJdbVE1NTVlZGblpKC8vT0tLq7i4WElJKT09XVFRseHPNoBMCkXGARA5OTkKCgqid5uL5qewsJDezP9PV11d/enTp2bNmmlra5OhJ1R6erqWllZVVdU3VbLk9cPlcuPj46WlpfX19cnZMiI7O1tZWZnL5TZv3pxca0AIYYzT0tI0NDToUK2SkhIWi0VuO6cLRTW+Bf6L1dbW5ubmdujQgdbnV2VlZamqqsrIyOTk5CgqKrJYLB6Px2Kx8vLyyM1ozDU1NTVLS0uTkpK0tLTU1NToWxwOJzs7W+x2CwsL5eTkWrZsSabgJ2N0mAQCQWpqqpaWVgM7919JaGdVVla2aNGCw+FkZmbq6OgwR62JHtyE8Pn8iooKOnwCISQQCPLy8tq1a0dOWenr6zMnPS4qKqKpMes/Li6usrIyLi5u4cKFHh4eYi/RihLts+A3AeEUAAAA8LPZ29uXlpaOHTt248aNMTExZEQ8+OeCcAoAAAD42ZKTk+/du5ebm2ttbV3fTdbgHwTCKQAAAAAAicCdfQAAAAAAEoFwCgAAAABAIhBOAQAAAABIBMIpAAAAAACJQDgFAAAAACARCKcAAAAAACQC4RQAAAAAgEQgnAIAAAAAkAiEUwAAAAAAEoFwCgAAAABAIhBOAQAAAABIBMIpAAAAAACJQDgFAAAAACARCKcAAAAAACQC4RQAAAAAgEQgnAIAAAAAkAiEUwAAAAAAEoFwCgAAAABAIhBOAQAAAABIBMIpAAAAAACJQDgFAAAAACARCKcAAAAAACQC4RQAAAAAgEQgnAIA/EsUFxf/6iwAAP6jIJwCAPwo9+/f19bWZrPZ/fv3Zy738fFhs9lsNnvJkiUFBQViP1tSUpKZmdn4bfH5/P79+5eWltIl+fn5S5cuJRuyt7f/9OlTkwoBAABfB+EUAOBHsbW1tba21tbWDg0NjYyMpMvfv38vEAgEAsG2bdtUVFREP4gxnjFjRnR0dOO35e/vn5CQcOHCBbpEVVXV3d2dbGj79u1dunSRoCgAANAQCKcAAD+QjIzM8uXLEULu7u5kycePH2lk06xZM/KivLw8JCQkNzcXIYQxXrx4cUBAQH5+fklJCVkhOTn59evXZWVl9W3o6tWrCKHjx49jjOlCaWlpoRcAAPAjQDgFAPix5s+fLy8vf+PGjcLCQoTQ3bt3J0yYwFwhMDCwZ8+ebDbbxsbG29s7JycnPj4eIfTy5cvo6OjMzMzOnTsnJyc/fPhQQ0Pj0aNHoptITU0dMGBAhw4dyGo/p1wAAEBBOAUA+LGUlJSmTZvG4XDOnDlTXl4uJycnIyPDXGH+/Pn6+vqmpqZ9+/bdsGGDhoZGv379EEKTJk2ytLQMDQ1NTEyUl5dfunRpdXX16dOnRTdx+fLlGTNmLFmyBDFOgwEAwE8D4RQA4IdbtWoVQsjDw8PLy8vBwYH5VnZ2dkpKSnJy8rZt20pLS7W1tTkcDnMFOzu79+/fczicgwcPIoSqq6uFEudyuZ8/fy4uLh48eDCLxXr06NHnz59/cIEAAOB/QDgFAPjhevXqNWDAgIyMjNDQUG1tbeZbUlJSCCEZGZkdO3ZcuXLlxYsXsrKyzBVyc3MXLFhw7NgxcvJJ1P379zt06PDixYsPHz4MHjwYIXT8+PEfVhQAABADwikAwA9UWVlZV1eHEFq5ciVCaO7cuQghHo9H3q2trVVTUzMwMEhISIiKikII+fr6crlcNptN3v3w4cPevXsjIiImT57M5XLFbuLevXs7d+5csGDBggULNm/ejBA6f/48GbTO5/PJOvQFAAD8CBBOAQB+lLt37wYEBDg6OmZnZ0+cONHCwmLEiBFlZWXOzs5kBVdX14KCgosXL7Zr127AgAEDBgzgcrkyMjLW1tbNmjUjH7SwsGCz2WvWrPH391dSUgoPD//48SPdhKur69OnT+/cuYMQqqioCA4ORghVVlZOmzYtNTXV0dGRrLZ9+/aEhISfXgEAgP8KFvOmYgAA+CX4fH56enqHDh3ItT+EUFVVFZvNlpeXRwgVFhbKycm1bNmyrKyMz+crKSn90swCAIAwCKcAAAAAACQCF/sAAAAAACQC4RQAAAAAgEQgnAIAAAAAkAiEUwAAAAAAEoFwCgAAAABAIhBOAQAAAABIBMIpAAAAAACJQDgFAAAAACARCKcAAAAAACQC4RQAAAAAgEQgnAIAAAAAkAiEUwAAAAAAEoFwCgAAAABAIhBOAQAAAABIBMIpAAAAAACJQDgFAAAAACARCKcAAAAAACQC4RQAAAAAgEQgnAIAAAAAkAiEUwAAAAAAEoFwCgAAAABAIhBOAQAAAABIBMIpAAAAAACJQDgFAAAAACARCKcAAAAAACQC4RQAAAAAgEQgnAIAAAAAkAiEUwAAAAAAEoFwCgAAAABAIhBOAQAAAABIBMIpAAAAAACJQDgFAAAAACARCKcAAAAAACQC4RQAAAAAgEQgnAIAAAAAkAiEUwAAAAAAEoFwCgAAAABAIhBOAQAAAABIBMIpAAAAAACJQDgFAAAAACARCKcAAAAAACQC4RQAAAAAgEQgnAIAAAAAkAiEUwAAAAAAEoFwCgAAAABAIhBOAQAAAABIBMIpAAAAAACJQDgFAAAAACARCKcAAAAAACQC4RQAAAAAgEQgnAIAAAAAkAiEUwAAAAAAEoFwCgAAAABAIhBOAQAAAABIBMIpAAAAAACJQDgFAAAAACARCKcAAAAAACQC4RQA4IcrKSn51VkAAIAfCMIpAMAPt2zZsmfPntF/BQLB1KlT2Wy2k5PTVz8bHx/P4/EkzMB3SQQAAOoD4RQA4McqLCy8e/fusWPH6BIpKakZM2YIBAI+n//Vz44cObK2tlbCDEieCAAANADCKQDAj3XlyhUpKSk/P7/U1FTRd1NSUt6+fUvjqoKCguDg4KKioqysrJKSEisrq8zMzPT09JqamqysrNTU1MLCwtra2nfv3mGMEUK1tbUhISHx8fHMNCsrK8PCwoqLixFCQon88NICAP6TIJwCAPxAGOOsrKxJkyZhjE+cOCH07qtXr7y8vEaMGDFo0KDa2trQ0NAhQ4bweLz169efPHkyISEhOzsbIXTnzp3s7Ox79+517Nhx+vTp/fr169Onz/nz53ft2jVv3jyM8ZgxY0aNGkVisnv37pmbmwsEgs6dO7u5uQkl8vNrAADwXwDhFADgB3r27JmlpeXy5csRQufOnRM6PzRgwIAdO3Y4OjqGhoZeuHDh6tWrubm5ioqK586dMzU1NTMzU1NTQwitW7dOT09v9OjRCKFPnz4FBgY6OjoOGjTo+vXreXl5AwYMGDZs2JMnTz58+JCXlzdr1iwzM7P+/fv369cvJSVFKJFfUQcAgH8/CKcAAD/QrVu39PT02rZtq6enV1JScu3aNea7bDYbIdSlSxeEUHh4+OjRo4uLi42MjObOnWthYSE2QUNDQ2VlZTc3NwMDg6dPnx49etTd3T0qKgohVF1dHRQUVFlZ2aFDB4SQv7//yZMnf3gJAQAAwikAwI+Tk5NDQpwXL14MHz4cIcQckE6RoKp169Zjx469f/++vr7+5cuXd+zY8dX079y5Y2ZmZmRkZGRkRJaQ2/fEDtICAIAfB8IpAMCPcurUqW3bti1YsGDBggVubm6ysrIxMTGBgYF0BTLaiUQ/48ePX7p06bBhw+Li4qysrOLi4tDfkVZtbe2HDx+YH0EIFRQUrFmzRl1dfeDAgWVlZWThoEGD5OXl7969m5mZiRAinxJNBAAAvi8IpwAAP4SPj8+hQ4fu3LnD5XIRQg8ePJCVlUUILVmy5OPHjwihkSNH5ubm3r1719PTc8+ePUOHDi0tLV22bNmtW7dKS0vXr1+PEJo0aRKLxRo3blyrVq0uXryIEIqIiHj8+DFCSFlZuWfPnklJSba2tq1atUIIXbhwQVNT8/z581wut0ePHnZ2dhUVFUKJ/Lr6AAD8m7HIzcYAAPAzVVVVNW/eHGOcmpqqrq4uLy+PECouLlZSUkpPT1dUVGzZsiVZs6SkpE2bNiwWSzQRjHFGRoa2tjaLxUpLS9PW1paSkkIIcTic7OzsDh060E81kAgAAEgOwikAAAAAAInAxT4AAAAAAIlAOAUAAAAAIBEIpwAAAAAAJALhFAAAAACARCCcAgAAAACQCIRTAAAAAAASgXAKAAAAAEAiEE4BAAAAAEgEwikAAAAAAIlAOAUAAAAAIBEIpwAAAAAAJALhFAAAAACARCCcAgAAAACQCIRTAAAAAAASgXAKAAAAAEAiEE4BAAAAAEgEwikAAAAAAIlAOAUAAAAAIBEIpwAAAAAAJALhFAAAAACARCCc+qcSCAQY4yZ/nM/nCy2pq6uT5OPfSyNTbnIGflzOv8smJNytYv2EIjchD43PlST5/9Flb0L6EmZJkp7701rC99oQh8ORPJEmZAZj3IRuyOfzf2Zf+y6VA74jCKd+O5cvX7aysnJ2dl66dOm4cePqW23NmjVr165t2ibu3btnYmJC/w0ICPD09Dx37ly3bt0KCgoa/uzdu3d1dHSCgoKatukGXLx4sX379hEREQ2v9uHDB0tLy/379zdhE0IF/+6KiooWLFgwfvz4JqcgyW4VlZKSMm3aNFtb2++VYBP4+/vr6emFhoYyFzZyRwQFBXXr1s3X17cJ283Ozp4zZ46VlVUTPtsYTW6Hffr08fHxadpGJem5CKF58+bt2LGjaZtupPLycldXVw0NDQnT4XA4u3bt8vT01NXVLSsra3I6TejyV69e1dbWTktL+6ZPnTx58saNG126dAkODv6mDzZBYGDgiRMnRo8e/eeff/7obYFvgMHvJDU1tXnz5mVlZRjj/Px8IyOj+tbMzc3Ny8v7psRfv35NXtTU1CQmJpLXeXl5AwYMIK/Dw8Orqqq+mk7btm0DAwO/adON1KJFi9DQ0K+uZmdnt2vXriakzyz4D+Lu7j506NAmf7wJu1Usuq8PHjw4cuTIJqRQUVERExMjeU4wxkpKSkFBQcwljd8R3bp1u3fvXtO2e+LECQsLi6Z9tjGa1g4TEhJqamq+6SPfq+dmZGQUFRV906ab4O3bt7KyshIm4uXl5ejoiDGOjY0VCAS0Br5V41sabfA1NTUIoZSUlMZvJSUlpV+/fuQFOXr/UDo6OlVVVWVlZampqT96W6Dx4OzU7yUlJaWqqioxMREhpKKi4uzsXF1dTd+tqKigr9u1a6eoqEj/5fF4VVVV9F+BQMDj8fh8Pv14cHDwypUryWt5eXkdHR3yOiQkpHnz5uR1jx49WCwWTYTD4Yg9nywrKyu6UHSLYjPWMKGUq6uruVwuc0ltbW1dXZ20tDRzYXl5Of7fM/MYY7G/aJkFRwjV1dUJBALR1Uipa2pqmO+ShbW1teRf0XIJBILKykqhvCGEhHJCLs3weDx6jaayspLmn7lb66vS6upq5jUFkk5NTQ2PxyNL3Nzcrl69Sl6L3Vn1oRvicrnTp09PSEhooCAke7RCyApCO6KiokIgEIjWieiOQP/bvCnyWYyxUCWI5geJ7JT6yi4QCOq7QMbj8ci3KV1T7C4Q2w4poZUxxsxcGRgYsNls5srMRi66N79jz9XS0mrZsiWzsI3pmxwOh8/nk0yKZo8oLy+nr4Wqvb5eJkSo8URFRZF0DA0N//zzT9qekbje3UD7aWRLYzZ4ulv5fL5Q/YgekYjo6GjyKR0dnVatWiFxdcs8gGCMSTp0nfp2mWhSpaWlqampsrKyrVq16tChg9iPgF8Cwqnfi5mZWadOnaysrG7evIkQsre3V1BQQAiFh4fv3Lnz4cOHFhYWr169Sk1NdXBwmDlzJvmUp6fnoUOHZsyYMWPGDIzxw4cP1dTUTpw4MX/+fE1NzWfPnmGMr1+/np2dffz48ZSUlK1btxoYGCCEkpKSrl69mpaWduTIkQMHDqioqFy6dAkhJBAIdu/efe3atS1btsyePRuLG0ZQWVk5fPhwd3f37Oxs0S0ihDgczoYNG65du3bmzJlRo0ZlZGTcuHFDTk4uICAgLS2tR48eEydOLCkpKS0tHTx4cGpqKjPxurq6bdu2nThxYuDAgSdOnEAI8fl8Z2fn69evnzhx4s2bN2S16urqWbNmPXjwYNSoUTY2NocPH0YIPX78eO/evTt37jQ1Nc3NzaVpVlRU0IIjhLZu3frixYv9+/cfO3aMuV0nJycDA4Ndu3ZZWVmpqKg8f/48KyvLwcFhypQpCxYs0NLSEq1whNDFixf3799/48aNGzdu0NROnTp18OBBX1/foUOHvnz5EiF0+PBhZWXl27dvL1++vEOHDr6+vnv27LG3tzcyMuLz+czdKrZKU1NTFy1aFBoaamtr++jRI4zxnj179PT0zp49O2nSJG1t7YKCgoKCAj8/v9jYWE9PT2aVXrlyRV5e3t3dHSGUl5dnYWGRnp5O362qqnJ0dHz16tW8efPCw8NjY2Pfvn378OFDf39/sQW5du1a+/btT5482a1bN3d39+Tk5C1bthw/frxXr16vX79GCBUUFKxYsSIgIGDLli1C317MHZGQkGBsbOzo6Lh27dpu3brt3LlTtKW9fPly1KhRGhoaS5cura9iRRsbM4Xr16+PHj36xYsX5LWXl9ft27cXLlzIXIfD4cybN+/58+fOzs7kipjYXSC2HVJxcXE7d+58+vTpqFGjaLUfO3bs2rVrFhYWubm5YWFh/fr1I7tGqJGL3Zvfsed++vTJ2tp6+fLlYqsrPz9/8ODBK1asQAidO3dOTk4uOTk5MjKyb9++zs7OlpaWkydPFs0eQujRo0dbt24NCgoaNGiQ6AUysb1MSHBwsJOT09OnT+3s7Ehn9/X1DQ8PDw8PP378+KdPn5jtWah3N9x+Gt/ShBo8ycPs2bM1NTVv374turOYn42KivL29s7Kyjp+/Pj79+9F61boABIYGKitre3m5rZp06aePXv++eefHh4e8+fP79ChQ1JSklCbFEoqLy/v+PHjCKHjx48HBATUV6Xg1/jJZ8PAV+Xk5JDBN5aWlhkZGRjjsrKywYMH8/l8jLGHh8fp06cxxjt27LCzs8MY//XXXytWrMjIyEhKSpKWlvb398cYt2zZ8v79+xhjFxeXOXPmYIx9fX27detGNvHy5UslJSXy2sPDg14MGjRo0JkzZzDGbm5uV65cwRiXlpaOGTOGnD6hNDQ0/vrrr4MHD8bGxtKFolvcu3fvggULyLtbt261tLTEGHfv3v3GjRsYY09PT7KEx+O5urqS1ZSUlMjFPhcXl2vXrpEITFpauqSk5MSJE1u3biWrDR06lFxkOXLkyKxZs0jpNDU1McaFhYXDhw/PyMjIyMjo27cvuV5A0YLzeDwtLa3S0lKM8ZMnT5jr/PXXXwoKCoWFhSTburq6GOPt27f36NGDz+cXFhaKVnhMTMyQIUPIx3ft2kUu9r1+/drAwIAsfP78uZKSUklJCYlgsrKyMMZr1qwZPHgwWUFTUzMsLIy5W8VW6dWrV9euXYsxvnDhgo2NDcY4KipKWlqafO8OHDjw4sWLGON169YtW7aMJOLu7k7378iRI52dnUktbd++XahmrKysBAJBUVFRZGQkxrhPnz63b9+uryA8Ho/NZt+5c6empqaqqmr48OHx8fEZGRmrVq0yMTHBGNvb2z9//hxjXFNT07x5c6GLfcwWaG1tvXr1alLzOjo6+H/17Nnzjz/+wBgnJibKyMj4+fmJzY/YxnbmzBkLC4vo6OgjR46Q7oMxHjJkyJs3b0T3e1JSUv/+/THGKSkprVu3rm8XiG2H1I4dO/bv308TDwsLW7RoEXlr4cKFZLtDhgxxd3fH4hq52L35HXvumjVr5s2bh+vpm+vWraO5RQh9/vwZYzx48ODly5djjIuKisRmb8mSJXfv3sUYz5o168iRIxjj2NhYcrGvgV5GlZWVqaiokB5RVlbWokWLly9fYoznzZvn5ORE1qHtWWzvbrj9NL6l0QZPzhuRFrtr165Ro0aJ3VnMz16+fJlc7KuvbpkHEIxxx44dr169ijH28fFp3rw5Ob8+ffp00tQpsUmRnwrfer0Y/ARwduq3o6am5uPjc//+/ZiYmAEDBlRUVISEhKiqqkpJSSGElixZsmjRIsQ4ox4QEMBms8PCwt69e3f9+nV9fX2EkIyMTLt27RBCmpqazJMQRH0XQej1gtu3b/fp0wch1Lp1a39/f3pNgdqwYQNCyNDQkC4R3eKDBw/69u1L3rW2tn7x4kVVVdWSJUvOnj2LEMrNzY2Ojk5JSfH19RUdK/3w4cOqqqqwsDA2m339+nWE0LVr10iWEEJt27YlLzDGHz58QAj17NmTLAkLCyN/w8LCnJycJkyYILbgbDZ71KhRPXr0uHPnzogRI4TWadGihbKyMkJo9uzZycnJpaWlcnJy+vr6UlJSysrKohV+8+ZNmgGaN19fX5phS0vLmpqasLAwGRkZhBC5HKCpqUm2Quq5sLBQaNeIVum0adN27tx579696OjoyspKso6UlBTZqIaGhui+ZnJ2dj558mRlZeXt27dnzJjBfMvU1DQtLW3gwIHp6enGxsbMt8QWhM1ms9nszp07y8vLCwSCjx8/xsXFhYWFDRo0yMXFpa6uztvb28jICCEkLy8v2n6EiqmmptZA/jt37owQ0tfXHzJkSHBwsNj8iG1sCKHs7OwpU6bMmzePdB+E0Ny5c4cPH75nz57Bgwczt6KnpxcUFPTkyZNnz56RuhW7C8S2Q8rOzu6PP/6YPXs2aQ/e3t69e/cmb3l6evbr149ZdtFG/tW9KWHPpR+vr7pEycnJdenSBSGkpKQkNnseHh59+/a9c+dOVlYWrTeigV5GkeKToeutWrUaNGgQPT8kdmUk0rsbbj/f1NKYyHloHR2dkpISJG5n1Uds3TIPICQn5CCgoaEhJydHrsC2bt1a6H6Cxu8m8DsQf+0f/CqPHz8mlwlsbGzU1dVNTU0fP37M5XKZZ9ExxsxxEmVlZe3bt7e3tyf/ig4xaYKSkpK0tLSuXbuK3SJCaP78+S4uLgMGDDA1Na0vERaLlZWVRV4rKipKS0vLysrOnDlz06ZN79+/RwjNmDHj/PnzfD5fNJwqKyvr3LnzoEGDaKEKCgpEx8rMnz//yZMne/furampOXfuHPkgn89vTG2cOXPGw8Nj4cKFb9++3bdvn9h12Gw2Pdgx8yZU4QUFBaJjcVgsVnZ2Nv1XUVGxWbNm9WUGIYQbcWN2TEzMvn37zp49W1VVFRsb+9X1hQwePLhr166enp5FRUV6enrMt+Tk5CIiIjZu3Ni/f/9bt24xbyn9akHKy8tLSkrGjRsnLy+PEBIIBBkZGQKBoKysrE2bNt+ayQaoqKi0a9cuPz9fND9iGxtCSENDo2PHjrNmzfL29iZteNasWdra2kuXLn348OGrV69omFVZWTlt2rQjR46QU0H15UFsO6QMDQ2joqIWLVpkZGQUEhJCvokp0Z4r1Mi/tUJEfbXnEvVVVxNcvXo1Pj5+165dDx8+FK23r/YyFotVUFDA4/HI2CNFRUUyvEGsxvfu767xO0uSuhWqwO+4m8BPAGenfi8vXrx4/Pgxea2uro4Q0tHRMTMzi4qKunbtGkIoPz//woULiNHxTE1NyeAVhFBcXJzQPdh0EKiCggL97cjstEKvyb+DBg1ydXUlXwaXL1/OyckRyme3bt2OHTtmZ2cn+hbdoq2tLb3F/dOnTzY2NjIyMq1bt540adKkSZMWLFiwaNEiDw8PcjpNSL9+/ZydncmwzRs3biQnJ/ft2/fatWske2QgMEKoqKiITCpBzskjhExMTIKCgh48eIAQKisrI+MMRAtbWVnp7e29bNmykJCQK1eu1FeEly9f2tvbk4HDDVR4v379/P39ybdsbW0tGVI6fvz4sLAwcs6ppKREXl6enJwQuyHRHIpd7eDBg7q6us2bNydDvOtbjbmvhWzbtm3v3r3du3cXWk5+fLu7ux88eJAM/6KJNFAQklt1dXUlJaWtW7cihPh8/v79+9u1a6elpUVarEAgEB1m23Ax65OSkmJnZyc2P2IbG/nXw8MjKSlp9+7d5N+LFy9aWlpGRUVlZWWlpKTQxO/cuVNUVKSrq1tRUUE7gmjexLZD6uLFizo6Ok+ePBk0aNBff/1lYWFx5syZuLg4hFBYWBgZ5kVTFm3kYrf4fXsuIba6lJSUyNkR8uONjrlueGc5OzsPGTKExWKJtknRXpacnPzx40fmOmZmZuSML/n38+fP5JwTcxfQGmi4d4ttP41vaUK9htztQe/5aHhnMXNbX1OsL0ZvoNmLTYqk05hfX+Bn+wEXEEHTnT9/3sjIyM3N7fz580OGDKEjM06dOtWsWTN1dfVJkybV1NSkpKSMHj1aX18/MjKSw+FMnDhRWlq6a9eujo6OAoGAjJndvHlzXl7e6NGj1dTUPnz4UFZWpqamtmjRooiIiE2bNklJSXl7excWFlpbW7dr1+7t27cRERFt27a1trYuLCzMzc01NzeXk5Pr1q2bn58fM4ePHj1is9lOTk4FBQV9+vTR19cn10dEt8jhcJYsWbJ27doHDx6sW7eODLnAGL9582bx4sXktZWVFb3Bm3z7rlmzpry8PC0trWfPns2bN+/VqxcZZJCenm5kZNS/f//FixebmZlNmDAhKyvr9u3bzZs3NzAwMDY2njVrFrkj+sCBAzIyMrq6utbW1swhDqWlpbTgFRUVRkZGd+/evXz58vHjx5kFDAoKkpeX37p168WLFxcvXlxYWJiWljZkyBBNTU0yqkO0wrlc7uTJk/X19efMmWNvb9+rV6/w8HCM8enTp+3s7Hx8fDZv3hwVFSUQCA4cOIAQ8vLyysnJGTlypJaW1tu3b4ODgxUUFFauXBkXF0d3q9gqPXfuXJs2bebNm3fo0KEWLVpcvHjRxcUFIeTr65uQkNChQ4ehQ4cWFBS8ePGiXbt2O3bsiImJGTFihIaGBhmYRZibm4sOvPDz85s4ceKzZ89279796tUrjPEff/xhYGDg6ekpWhCMMRn4vHr1ajIW5OnTp23btlVTUzM1NX337h3G+Pnz52pqahMnTly3bp2GhoaTkxPdKHNHJCYmduzYccyYMbm5uZs2bUIICU2LsH79eltb26tXr+7bt4+OvxHNj2hjy87Otre319TUjIyMvHv3LkJow4YN+fn5o0aNOnny5PPnz1etWkUmTSXev3+vpKQ0btw4Ly+vli1brly5UuwuENsOaSIbN250cnJ6+fLl6tWr8/Ly+Hz+3LlzpaWldXR0du/ejTGOiIjQ1tYeP358RkaGaCMXuze/V8/FGDs5OZGxU2L75ufPn3V0dIYNG3bgwAEtLa09e/aEhYWpq6sPGzbs06dP9WVv7ty5WlpaTk5OS5Ys6dSp0/Pnz9etW4cQunz5smgvmz17try8vNCIrtevXw8dOvT27duHDh0i9RAdHW1oaNi/f3/Slmh7Li0tFerdDbefb2pptMGTyM/FxaWgoMDGxkZFRSUqKkp0Z1EZGRnTpk1TUlJ6/Pgx+fEgVLdCB5BXr17JysquWLGisLCQjJq4ffv2ly9fjIyMBg4cmJmZSVMWTaq8vNzNzQ0h5OnpSQalgd8HhFO/l4qKCi6Xy+fzv3z5InTQ4XK5DfSf8vLyrw5OrKur43K5jc9McXExHcDbZHV1dfTnPlVdXS30QqzCwkIej8dcUlRUJBAIamtryb8XLlx4//7958+fo6Kinj17RqPPuro6obGiovh8fllZWV1dndDyoKAgVVXVhmsbi6vw8vJyDodD80YIBILi4uKGc/JNaGWS4av1EWo8zOUuLi6iy8mOJrGR2ES+WhCBQEAjZqGPCNXJtyID5EUXiuZHbGMTwufza2trxdYeObOIMa6srGy45Qu1Q2biPB5PKGMVFRUN9E3RRi7qe/VcJyendevWMZMVqi4+n0+WfNMuo5UpWqtCvYz8ohCbt4ZbF7MpNqZ3N019vYZqzM4iGtMUG+k7JgV+KBaGc4bgn6m6urpDhw6hoaGdOnVCCL179y4nJ2fMmDESJvvq1asJEyYUFRV9jzz+RuLi4mJjY8PDw1euXKmrq/urswN+qoiICBMTk5UrV1paWk6cOPFXZSM+Pp7L5dL7NgD4N4GxU+CfSkFBYc+ePcuWLbOwsFi8eHFFRYXksVRVVZWPj0+LFi1u3rwpdr6+f65Pnz7t3bu3X79+EEv9B507d27+/Pl6enpC97r+ZF27doVYCvxbwdkpAAAAAACJwNkp8A/QmIdU/Gg/8/ntGOOmFfknPND+h27iZ1ayqMYUrTHrkHFO3yNHEmXjd8tAIz/yTY3/ZzaYH1rn35r4L28AQBSEU78RPp/v6elpbGzs4OCwYcOGRYsWkfuHX758OXLkyMGDB2/atGnr1q2bN29++/Yt+UhsbKy9vb2ZmdnmzZu3bNmyYcOGESNGBAYGNmZzV69e7du375QpU2JiYhBCISEhVlZWgwYN8vPz+3FlbIKLFy9qaGjUd+e/kPj4eAcHB1NT040bN65YscLFxaW4uLiwsHDHjh3GxsZz5851dnbetGnTiRMnyC3uHA7n+PHjpM63bNni7Oy8YMGCqVOnMtOsqqrauXPn7t27LS0tf0gJ/9e5c+fETr7asKCgoG7dujVy1zdNcHBwnz59ROeV+C4SExPd3NwcHBxcXV1/RPpflZKSoqSk9NUrvAsXLvzjjz8aWOHQoUOXL1/W09PLz8//rhn8HwYGBiEhIT8u/e+bgca3nMY3/p/ZYLKzs21tbTdv3vzjNvHVdkWVlZVt3ry5V69ePy4zoIl+6UB4IIacnNyFCxcwxunp6SoqKocOHcIYT5kyxdramqzw8eNHAwODVatWkX+dnZ3Jg1CIuLi469evN3Jb7du3J/dvE/PmzbOwsPgehfgOBAIBeSgHmUSn8fe2/PHHH+3btycpbNq0SUNDo7y8/NOnTwghclN9XV3dzp079fT0yNNUamtrpaSkLl++TFPYsmULM8EjR44cPHgQY8x8qM73Qh6qw8Tn89ls9jc90J4wMDB4+vRpAysUFhaSuSSabMiQIaRxfnc2NjZv376trq5OSkr6EenXh9aJQCCIi4v76vqZmZkN3IMWHR09btw4jHF8fHwjbwFrPObuI2O6v2/6X0W7ZBMy0MiW0/jG/3MaDO2eq1atYt4U+V0w67PhdiXk5cuX5BAHfitwduq3Q582r62tPWTIEDJnHZvNprMbd+3a9cGDB2fOnLl48SJCSGjO7g4dOtjY2CCEeDzeV39qS0tLMx9uLy0tTZ+mTpSWljY+55WVlV89Sy80ozSXyyW3pouuuXPnTvK4CZqluro6oXP7YuenpiVisVizZs3Kzs5+9+4dWUjqUFZWduvWrRYWFtOmTaurq5OTk2OWurKycsuWLcwE379/Tx9uT5YIVQupZzLFH/r7AgR9HERtbS2Px6MrY4zpW1lZWaK3WUlJSTF3ikAgEHqEsGg9VFdX03ml6UaFapXD4Tg4ONBJlsWmLDaTTEKTMovOYym0XdFsUEJ1GBMTIysr26xZM6Hp2mtqapj/1tXV0XpGf1d1bW0tbXgN1xXdNSRXzDphsVhdunRh5lbsCVFNTc0WLVqITY2WAiHUpUsXshNFJ7dktnmhpiIQCISm26bFEdp9QlkV2gqPxxM7e6oQoa2LblQow7RLimagpqam4ctPQi2HTEnA3ATGuK6uTqjxN0C0wTTcKwk+n8/n88kkFzQnzBWYDebZs2dkqi3EOAqVl5cLrf9NDZJZcGZ9MtsVElefzA/C3Oi/Jwinfl8Y4y9fvgg9QI3o3LmzmZkZmUqRqaio6Ny5c82aNbtw4cLdu3fPnj27Y8eOpm396dOnLi4u5KE3jx8/Li8vNzY2tre3r66uXrx4sY6OTlJSEp/Pnzx5clBQUFVVlYuLy4kTJ0xMTB4+fJiQkKCrqztv3jyBQFBYWDhkyBAyG7KLi8vBgweNjY1TUlIiIiJ69+69e/duExMT0dP1+fn5Dx8+DA8Pv3nzJlly5cqV6dOnq6urkzmmhVKrrxTkKcVibyaaO3duYmJiRESE0PL9+/czH6Li4+MTHR0dGBhI5iEUqpaamprNmzcPGDDA1dVVSUkpLi7OzMxs/fr1rq6u/fr127Vrl4eHx7x583R1dcl80zt37rxx48bRo0eXL1+OEHr+/Hl2dvbx48frK4KPj8+BAwdWr15tbW1NJrWaP39+cHDw3LlzyYPDuFzuhg0b7t27t2fPHjoF9pYtW169euXo6Mh85nxsbOy7d++8vb2Dg4MRQocPHz516tT169dHjBjx5csX5kaFMilWTU3NunXr7t+/v2vXrhkzZpAgQGi7YrOBRJoWQujkyZMFBQVXrlzx9vamq5WVlW3cuDEwMHD8+PHkO+zYsWNHjx4dO3YsmeLczc2tU6dOXl5e8+fP19XVff78+ebNm01MTPbs2YMQEqorgUCwbds2IyOjo0ePWllZmZiYCNXJ+fPnNTU1yQQZWVlZLi4u/v7+o0aNevToEc1SamrqxIkT169fLza1yMhIPz+/z58/Hz9+PDMzMyUlZfXq1U+ePJk5cyaZvpXZ5p2cnObOnWttbe3m5jZ+/HgrKyt/f//ly5fr6uqSK7YPHjzYu3fv06dPLSwsampqmFkNCQnp3bs3ef6B6FYePHigqqp67ty56dOna2lpkSfmCqmtrV27dq2pqemGDRsGDx6sr69PWqDQRpkZXr9+Pe2SzAzweLxt27Z5e3svXLhw3759eXl5AwYM2LFjR11d3datWzU1NYU2nZSUtGLFipCQkGHDhn38+DErK8ve3n7hwoW2trbDhw+nq+Xn55ubmw8dOrSoqIjMhsochCDUYBrulTQi/+uvvzQ0NE6ePLl27Vo9Pb07d+7s3r17/PjxZLuiDebGjRupqanHjx8nQVJOTs7q1av79u07d+5ckuA3NUihgjMPcbRdidan6Afr65Lg1/vJZ8PAVykoKMybN8/Dw2P8+PG2trbkt++0adPGjx/PXG3NmjXkfO++fftat269bt26tWvXDho0iExlaWZmlpCQgDF+/vx5A9vS1dU1MzNb9rdu3boNHToUY1xUVKSiokIm5Xv//n2rVq0KCgouXbo0aNAgjHF+fr6CgkJZWRnGmMwJuX79ej8/v4yMjL1793bu3BljfPToUfK4+6qqqv3792OMhw0blpycnJGRMW7cODIrOjnQcLlckpSQRYsWubq6YozJzzsyL/OUKVPIQtHUKDc3NyUlpQsXLri6uhoaGvr4+GCMP3/+jBAikywT5MwWuQAhKytrZWW1bt26xYsX0+fPU5MnTz58+HB91eLv76+oqFheXk7mwHRwcNi8eTP+e+5jMhfo6NGjr1y5gjHu3bt3WVlZbW0ti8Xi8XgkABItu6ysbEpKSm5uLpk+OyMjo23btjdu3IiPjx8zZgzG+NGjR+Sy7J9//knyxufz1dXVnz59WlNT06lTp+rqag6HExQUxEzWwMAgMDCQtApTU1Oy8OjRo+bm5szVhDLJfGvkyJGkxrZu3bpx40aykAwrEdpufdkQW4cYY1VVVebeIWV0cHDAGL979664uNjPz8/Z2TkjIyMwMJA8RjAxMVFaWpr8are0tCT5efPmjZ6eHsZYtK5CQkIUFRXJiRwlJSXSomidkJM0JDPDhg0jl9Vu3rxJrrZTjo6Oy5Ytqy810m3JmoMGDXr06BHGmMPhqKqqkindmW3e09OT1DyHw5GTkyMr79+/f/78+Rjj+fPnk85rampKckizStK5ffu22K0IBAJZWdnXr1+TXXPq1CnRBoYxfvDggbq6OplH18bGZsaMGWI3ysww7ZLMDOzevZtMnf/p06dZs2ZhjJctW+bs7Iwxjo2Npb2JtpwLFy6QAQYbN24kqTk6Og4fPhz/PYssafwY46dPn6qrq5MTY6tXrxbKP20wjemVlLq6OtkRO3fuNDMzEwgEfD5fQUEhMzNTtMFcv36dDn5Yt27dlClTSDGlpKS4XO63NkjRgjPrk7Yr0foU/WBoaChc7PsNwdmp35G+vv7QoUMvXbp07969+h4ImpGRQc9yKysrHzx48NChQ4GBgeRB6LNnzzYzMzt16tSQIUMa3paNjc2Jvw0cOJAsDA0NVVZWJpcRyaMVQkND7e3tY2JikpOTU1NTFRUVb9++nZaWRvLw5MmT0tLSsLAwfX39vXv3IoTmzp0bGhqalpZ27969SZMmlZaWpqSkvH37NiwsbPbs2dOnT0cIycrKGhgYSEtLk4erN4z8zO3QoUNpaanY1Jjk5eXNzMwWLlwYHR09fvz4+ioQIUTrcNq0aQcPHjx16hT5iS+W2GqRlZVVV1dv2bKl0LPi1dXVpaWlW7dujRBq1aoVecbcu3fvPnz4QJ7+IXQZQlRISAjGOCwsLCwszMPDo1evXl26dPHx8QkICAgLCyNf/7du3erduzdCSEpKSlFRkZTd2NjYyMjo9evXdIcK8ff3NzIyIq+trKxCQ0OZlzAak8mAgIA+ffqQ12PGjHn06JHQduvLhtg6FLuJAQMGhIeHW1lZtW7dWlFRkTzBgzyt79atW7KysjIyMlJSUs2bNye13bZtW2ZVi9aVjIxMs2bNWrRowWKx1NTUhE7b0Aso5eXlCQkJ5FGSkydPXrt2rdjVGk6tsrIyKCiIVLKMjMywYcMePnyI/rfNy8jIkHqQkZFRVlYm7Yfm/+zZs+3bt797925ZWZno9TiSDbFbYbFY0tLSqqqqCCENDY36hnXLyMioqKiQE7HTpk2LiooSu9H6Oimth7t37w4dOhQh1LlzZzL8oGFz5sxZvny5t7d3UlIScxMIIVID1PDhw1VVVW/evJmdnS10CZipMb2SWWqyJnnQJIvFkpKSatGiRWFhoWiDEUIPQQKBoLKy8lsbpGjBG1mfDX8Q/D4gnPodqampGRgYkG9isTgczps3b0RnrWSz2XPmzEEILVmy5OLFi7t3716wYEETMsBisfLy8ui/SkpKzZo1a9as2ZQpU7y8vO7du3f27NmLFy/evHmTPN29vLy8Z8+e9vb29vb2EyZMqK2tbdmypYODw7lz59LS0jp27FhWVlZWVmZnZ0fWIRdHmuyrqUlLS3fp0kVLS6uBcRjkYTI0JqDmz59f30fEVksj84wxRggtWrRIIBCQwW34a/fSl5eXS0tL2/+tQ4cOZWVlkyZNMjY2HjBgAPl4YWGh0GAOhNC1a9fmzJkzbty4+r7eWCxWbm4uLYWUlBRzNEZjMimUAqkHoe2KzUbj67BFixZv375VUVHp06dPbGxseXm5hoYGrY36fmbQPIvWVSOVlpYWFxfTATTf9FmKjNITraLGIFs8f/78/fv3J06cSE7wfPetMLHZbBUVlUZuVEhJSQndoY35yNu3bx0dHceNG0dOYze88oYNGw4ePHjv3j2hm22ZJOmVFMb4WxvMtzbIRhZctD6/qcbALwTh1G9HIBCIDuhmLhEIBDNnztTW1l6zZg35V7SPXblyxdra+t27d/fu3UMIFRUVJSYmit0Wc7g6/bd///4IIXIjNHmQmbm5OUJo/vz5np6e7du3HzlyZFpaWlFRERk+aWJisnnzZvIoriNHjpCR18uWLfPw8CA/K7W0tKSlpcnDO2tqauij4GnOw8LChEaSNmvWjDlKlNQAGZ5ZX2qNrECEUHh4+KZNm86ePUt+SoqtQ4q+VV+11PdZoeWfP3++efOmmZkZKZdAICDH/frmgDAxMfH39w8KCkIIJScn37lz59atWxwOp127dnTUv7GxMRlERbNUWFj45MmTTZs23bhxg75F0Cq1trZ+/vw5GVPy6dOnMWPGyMvL15dJsXmztrZmPut+4sSJQtutLxuNr8MHDx6wWKxLly7NmzcvICCgb9++f/75J5l9wM/PT3QQiVAKonXFXIGWi9YJfVdbW7tt27bbt29HCJWXl58/f17sVsSmRhc2b958yJAhdLhPYmIinY68ka3FxcVl8ODBiHGHB7NHkJXr2wpNimaspKTkzZs3Qluk7wYFBZHfRaIbZaYmmgGE0MCBA11dXcnQaQ8PDz6f36ZNG3I+JiMjQ/RumIMHD3bp0kVWVlbsJoRMmTKltLQ0KiqKRHtiq+tbe6VoCoRog2ngEIQQ+tYGKVrwRtan2BoDv6MfcAERNBGPxzt9+jRCyMrKinlP/osXL3R0dNTU1Jydnbdu3TpjxowTJ06Qe2FiY2P79+8vLS19+fJl5jCXkSNHnj9/3s/PjwylInMmCW3u6tWr0tLSJiYm79+/xxiHhIQYGBi0bNnS19cXY/zs2bNRo0Z5e3tv376dXHUiLC0tyXAuFxcXepfv58+fDQwMFBUVTUxMyKANYuzYsfRZqr6+vq1atdLW1h4+fHheXl5oaKiSkpK9vX16ejrGWF1dnQxNoPz8/DQ0NA4dOnT27FmE0PHjx9PS0vr06WNqapqTkyOUGv3Ux48fBw8ezGazvby86KYLCgqcnJwQQpMnT3Z2dnZ0dJwzZw4Z7FJXV3fixAmEkLW1NVki5N27d/r6+uPGjSNj0YSqpbKycuHChTIyMg8ePMAYJyQkdOnSxdraOi8vj4xOvXHjRmJior6+vp2dXVZWlq6u7sCBAz08PNq3b79gwQKMsbm5ua2tLZnBgTh37hxCaPfu3RwOx9XVVVpaWl9ff/HixTweLyIiQlFR0d7e/tSpUwoKCmfPnk1OTu7ateuIESNWrlzZqVOndevWZWRkmJmZ+fn5HT16lOSK2rx5c+/evb29vTHGhw4dmjFjxoMHDzZs2JCdnU3XqampEc0k8fr1a1VVVXt7+/z8/JqampkzZ+7YsePOnTtbtmzhcDgFBQXM7Qr9y8yGaNN68OABm812cXFh7so7d+5Mnz79+fPnTk5OX758qampGTNmjJycnKGh4alTp/h8Pqnhhw8fJiYmdu7c2dLSMjMzc8eOHSwWKzAwULSuNmzYICsrGxwc/ObNG1lZ2ZUrV/J4PFInd+7cITd2HDlyhM/nBwYGqqioqKioWFlZMQf2JScnDxkyxMTE5NOnT6KppaSk2NnZ6ejokC6Qmpo6YsQILy8vDw+Ps2fPYoyZbb6oqMje3r5jx44fP34MDAyUkpJavXp1Tk6Ora1tp06dPn/+7ODg0KlTJ1dXVxsbm0GDBmVnZ9Pd9+bNG1VV1dmzZxcVFYluhQz8d3Nzy8jIMDQ0tLCwKCgo8PT0RH8PQCQePnyoqKi4d+9eT0/PtWvXkuOJ0EZ9fX2ZnZR2yZCQEJqBjIwMIyOj5s2bGxsbkyNJTExM+/btR48e7ebmpqys7Ofnx2w5J0+eVFZWXr58+caNG8mFRXNz827dupFZS5iNn+Rz//79pMUyCTWYhnsl9fz5czabvXXr1ry8vIkTJ6qpqUVFRT1//pzFYu3duzcsLEyoweTk5Kiqqq5bty4qKsrMzKxPnz5paWnkcHHhwoVvbZBCBX/9+jWtz8+fP9N2JVqfQh988uTJsmXL2Gx2w7OigJ8Pwql/Jz6fX11dTeIe+m8T0ikqKhJaUlNTQ16IJlhYWEhO81BCz6Xn8XiiCdI1T5w4IbSw4Qe8N5Daj9bk7fL5fLJTyNQGZAmtUrGqq6uZc27RD5Kxt8z80NoWCAQlJSVi5z1iVimPxyMj5b+ayfpUVVUxMy+03QaygRtRh+SGdqHVSkpK6BftV4mtK1Fim5lAIGj8PEANKCkpIWdtm4Dsdx6PRztyfT2iMVu5cOECs0QPHz7s2bNnbW2t0Ixuohtlqi8DRUVFzL7P5XKrq6v5fL7YuanoFhveL8TWrVvr6uq+uhqWoFdSog2GnCVq4CPf1CBFC97I+vymGgO/CjyzD/wWnj171q9fv8aMSQcAfKvCwsKPHz9aWFjQJQEBARs2bPjw4cMvzFUDMMYXL15s1qxZdna20N0AAPyeIJwCAID/lqqqqs2bNwcEBLi7u1tZWf3q7IjB5XJHjBihoaFx4cIFOTm5X50dAL4OwikAAAAAAInAnX0AAAAAABKBcAogxLj7F/xnNdAGBAJBWlpaww+A+6YEv8v6PzO1xm9O8u1+az1TVVVVQo9Q/FZNzjwcQL6VhDUGFf4bgnAKoMuXL4vOCCqhioqKxYsXGxsbu7u7V1VVubq6GhsbOzs7kwlpgoKCBg4cKDSjz++Gw+EcOnTI2Nj4xo0bZEldXd3Jkyf79u0rNJ/Tj8Pj8S5cuFBZWTlp0iQ2m92yZcvY2Fjy1oEDBxQUFI4cOSL5VsrKyjZv3tyrVy/Rt/Lz86dOnTp16tQ3b96sWLFC9AF/9UlJSVFSUvrqQ7iJ4ODgPn36XLlyhbnQy8urdevWbDZ7+PDhZOZ0Pz8/PT09BweHhueGDgoK6tatG3ny3c9x6tQpdXV1Mt2agYEBmQOpCaqqqnbu3EmmNWnCx+msIk3DLMW3+mqp+Xz+5cuXTUxMbGxsnJ2dnZ2dd+3aRZ8y+cvRbiXk2rVrYh96+FV8Pn/nzp3GxsYrV67MzMwkC/39/U1NTW/evCnJIbeB3gp+sV97YyH4HVRWViYnJ3/3ZHNzc2VkZO7du4cxrqurU1VVJQ/vIyZOnPjdt/gjdOnSpVmzZjExMXTJqFGjvvtWCgsLyUPihDg6Oubn52OMuVwueVyGrq4uvd198uTJ3ysDL1++FH0KWElJiYaGhoGBAb0VfPDgwS1atGigtYSGhpIXAoEgLi6u8RkYMmQIeaYbE7kT7fLly3TJxo0bk5KSvpqagYFBE2blEQgEdCq1b0LCAjIpQHx8vNjZARrjyJEjBw8exBgzp51rJD6f3759+65duzZt0/h/S/GtGlnqdu3a0Wcg+vr6qqqqXrp0qQmb+75yc3PV1NTqe9fZ2blps8zw+fxu3brNnj2bLqmqqrKxscESH3LF9lbwy8HZqd/RV2e/JZcDhH6jc7lc8rUnNhEej8c8VcD8t3nz5uRJf5TQBOV0c5hx4wKZ5aiBTLZr187a2vry5csIIVlZWQcHB/qwkbi4uFGjRpHXdXV1Yh8MRyaAqaurY/5cJodsekVDIBCQByQLZVVonnHR1YRqAyFEnogsatiwYebm5nZ2dnQF5uPDRFMWi8Ph0MfaU/SDHA7HwcEhKytLaIVXr14pKiqS+aClpaWtrKw6duyYnJzs4OBA9ix5KBhRXzUyibYQ+pr5kBnK2dk5Ozt78uTJMjIyZMnMmTMrKytXrlxJc44YtZ2VlTVx4kTymsVidenShdlChHYK/vupww1kgMzVLi0tTZe0adOG3udFyiLUC8jUQcyPCO0jMo0QrStmS9i5c6e/v399OeTxeAKBgMPhCF2MI88Cov8yS03WZG5dIBBER0dHRkaKvaL3/v17Ug+GhoZkiVBPJFkVu6OfPHlSXFwcHx//8uVLobfI3GbMJcxdL7YUSKRFkQzX1tbSowqzXA3va4rNZpMH4yCExo0b9+effy5YsCAhIYEsEdub6kuKWToyRRnNrdBHxBaEHs2Ki4utrKxyc3NTU1PpgYVZXTNnztyzZ0/DeRCtT4SQlJTUhg0bbt68WVRURJY8ePBg3rx5SOSQK3pwEMWsGbGdBfxyPy+cys3N/fDhQ0xMTE5OTiMvAfwHVVVVubi4nDhxwsTE5OHDhzk5OWPHju3Vq1d+fr6lpeWDBw9qa2vXrl1ramq6YcOGwYMH6+vrp6SkRERE9O7de/fu3SYmJq6urkKJIIQuXLhw9+7ds2fP7tixQ+jfioqKTZs2DRgwgGTg6dOnLi4ujx8/HjVqFHnG57Zt24yMjI4ePWplZUWfjrdly5ZXr145OjqSKZjrM336dF9f3+LiYoRQQUHBx48fIyIiEEI3b96cNGkSQujYsWNHjx4dO3YsmVCYOnfunJqampub27hx41RVVQMCArKysuzt7RcuXGhrazt8+HCE0OHDh0+dOnX9+nVyBSozM3PcuHHTpk2bPXt29+7dx4wZQ46bQquJ1sbHjx9dXFwOHjxobGyckpIiVAQ2m33z5k0Oh0Oe7s58SyjlvLy8AQMG7Nixo66ubuvWreSBqWRz+/bt2759O3kUT2lp6YMHD/bu3fv06VMLC4uamprY2Nh37955e3sHBwcz09+2bRvzJnYlJSUfHx8FBYXHjx9v3bqVuSazGuvq6pYsWUKeourr69usWTNS7cwWkpSUtGLFipCQkGHDhok+HIN6/PgxQqhLly50SefOnRFCz549S0tLE63t58+fZ2dnHz9+PCUl5fz585qamuSL5NWrV/v27bt///6AAQPIE3l37tx548aNo0ePLl++vN7WU7/4+PgePXps3bp1+fLlHTp08PHxQQhxudwNGzbcu3dvz5499CqSj4/PgQMHVq9ebW1tzeFwLl++rKmp6enpqa2t/ddffzFbQn5+/sOHD8PDw2/evCmawwcPHqiqqp47d2769OlaWlrkAlB2dvbKlSsDAgK2bdtGNhcSEtK7d28fH5+ioqLJkydPmzbN2dm5T58+69evRwiVlJQYGxsfOnQoLCxMTk6ub9++5MHDNKvR0dGBgYHHjx/HGAv1xJqams2bNw8YMMDV1VVJSUn0CzgwMNDFxQUhJPTMpXPnznl6eh46dMje3p7H44nuetFSIJGO6ebm1qlTJy8vr/nz5+vq6j5//nzz5s0mJiYkzqClRghlZWW5uLj4+/uPGjXq0aNHDe/HqVOnslis27dvI3H9VCip2NhYZWXlwMDAnJycCRMmODg4IIT++usvDQ2NkydPrl27Vk9P786dO7t37x4/fjw5RAgVROzRLDExkbSWGzduFBUVvX379sCBA/7+/jNmzCApdOnShRkSCWm4K02bNq1Vq1ZkSnqEkK+v75gxY5iH3LKyso0bNwYGBo4fP768vNzLy0tOTo7P58fExHTt2vXUqVOk7TEPFw1XKfiVvu/JLh6P9+nTp+Dg4KioKDqpbnFx8e3bt48ynDx5Mj4+/vtu+t9h/fr1fn5+GRkZe/fuJQ+8LCgoUFFROXHixJUrV8g6Dx48UFdXJ+efbWxsZsyYgTEmhzYul1tWViaaiJmZGXlGyvPnz0X/9ff379atG8a4qKhIRUWFTLz7/v37Vq1aFRQUhISEKCoqVlRUCAQCJSWlT58+1dTUdOrUqbq6msPhBAUFNVCc2traVq1aubu7kyNj//79lyxZwufzV6xYgTH28/NzdnbOyMgIDAxksVjMR52Qx/qSZywcPnxYS0sLY+zo6Dh8+HCMcWFh4fPnz01NTcnKR48eNTc3xxivXbvW1taWfFxTU/PcuXNiVxMq/rBhw5KTkzMyMsaNG7d48WKhIqxatQpjHBkZKScnt2/fPozxsmXLyGdFU162bJmzszPGODY2ljxEtq6uTl5evrKyksfjtWjRglzEmT9/Ptm0qalpYGAgxtjAwIC8YGrZsiVzomeSkzt37pCee+/ePZIT0Wq8fft2//79yaeUlJTIRpkt5MKFC7t378YYb9y40dXVFWMcGhoqdPmAx+OREwkBAQF0If3CSElJEa1t8rVE1iTndQoKCoqLi3v37k0WOjk5vXjxAmPcu3fvsrKy2tpaFotFTkOOHDlS9GLfyJEjEULXr1+nS/bt25eRkYExHjFixJ49e0jlk8cT/fnnn4cPH8YY8/l8dXX1p0+f5ubmjh8/PiMjIyMjo23btjdu3CC5ev36dVlZGZfLFWoJixYtIrUhmkOBQCArK0ueHmNra3vq1CmM8dixY9+9e4cx/vTpE/r71KmJicnt27cxxnv37h0xYoRAIHj//n27du1IVkl9kmzMmTNHqLyTJ08mRRDbE/39/RUVFcvLywsLC4U+mJOT4+bmlp+fLyMjIy0tTbvSq1evpk+fjjHmcDg2NjZFRUWiu160FKItKjExUVpampyDsbS03LhxI8b4zZs3enp6ZEO01MOGDSOXrW/evEmv61EaGhqkgFTv3r1nzZoltjeJJtWtWzdyDdfd3d3Ozo6sr66u/uTJE4zxzp07zczMBAIBn89XUFDIzMwULYjo0Qxj3LNnT9puN27c6OnpSZsEMXToUNHuSYjWp5Dt27draGhwudykpCRSb5hxyH306JGDgwPG+N27d8XFxQUFBbQh2dnZubu7Y3GHC9HeCn4H3/PsVF1d3e3btx8/fvz27dugoKArV67k5eVxOJz79+9nZ2cjhJo3b96rV6/+/fvr6+u/evXqxYsX33Hr/w5PnjwpLS0NCwvT19ffu3cvQqht27YHDhzYuXMnfaa6jIyMiooKeXrutGnTyA9cWVlZAwMDaWnpVq1aiSYye/ZsMzOzU6dODRkyRPRfeuo4NDRUWVm5ZcuWCKGePXs2b948NDRURkamWbNmLVq0YLFYampqGRkZ8vLyxsbGRkZGr1+/HjhwYAPFkZOTmzhx4vnz569cueLg4DBnzpzr168HBASQx6ySs19hYWGFhYW3bt1insEmV5fat29PypiZmVlYWEjKiBBSVlb29/c3MjIiK1tZWYWGhpaXl8vIyJCPtGzZ0tra+u3bt2JXYxa/tLQ0JSXl7du3YWFhs2fPnj59utiCGBsbnzp1asuWLX/99RdZIjZl0Q9ijFks1ocPH9hsNhnXghA6e/YseVpZWVlZfaOqCwoKKioqRKeJnzhxorOzM0Jo5syZ5FxaA9XIxGwhc+bMWb58ube3d1JSUn0ZYLPZ5HoEcwVyxUFGRkZTU1O0toU2R14EBwd3796dvN6/fz/Z9e/evfvw4YOfnx9mXHdrDIyxlJQUyYOqqipCSENDg5wrunXrVu/evRFCUlJSioqKCCHyQMCwsLCwsDAPD49evXqRXBkYGLRq1UpaWlqoIzAJ5ZDFYklLS9MtpqenV1dXP3r0qEePHgghMqxNqOCkn7JYLA0Njby8PB6PR87tcTgcUmR62UuU2J4oKyurrq7esmVL5uYILy+vfv36lZWVWVpa8ni8M2fOkOX37t0jo9plZGTu37+vpKQktOvFlkK0RcnIyEhJSZHnhaurq5OrzK1atSJ3ltBSl5eXJyQk6OvrI4QmT57cmNnMMzMzO3XqJNqbMjMzG5mUjIwMqSh1dXUlJSUWiyUlJdWiRYvCwkKxBRE6mgmlZm9vv2HDhtWrV/ft25cubN26Nb0iKeSrXWnp0qWFhYV37tw5e/YsudKHGI1kwIAB4eHhVlZWrVu3Jo1WVGMOF+B3IP31VRotIiKCPF67Q4cOrVq1Ki4u9vX11dPTI4fgrl27Dh06lM1mk5Xr6uqePHmSmpqqo6PzHfPwT1deXt6zZ09ydCPHcXl5+aqqKlVV1SNHjpBLBkxsNlv0WeuiiSxZskRTU3Pp0qURERHnzp0T+pd+kMVi5eXl0X+VlJRI0Cbq2rVrBw4cGDdu3IkTJ2bPnt1AiaZPn37hwgVVVVUnJydNTc2VK1euW7fu/fv3JJ/6+vrkUfao/gEEbDZbWlq6TZs2zIUsFis3N5fmU0pKSiiMIDVTWVkpuhqz+K6urmVlZXZ2duRLuoFz6XPmzAkLC5s6dSo5ZfLVDBBycnLnz593dXW1t7e3trYmO+X8+fMlJSXr168nv7nFbk5JSUlWVrampoZ8VTDt3r37/fv3/v7+5BDfyGpkevv2rYeHx8mTJ9++fdtANGNpaXnp0qW0tDS6JDU1FSE0cOBAOpqKENsOiZKSEmajIvHlokWLZs+ebWNjQ5bUlwHyBc/8CiktLW3Xrp3YlQsLC4UiWjIeqIGaqa8jIIS+msPi4mI+n19ZWdm6dev68i9kxIgR69ev3717t7Gx8fjx43ft2lXfmo3viSR7MTExbdu2TUxMNDU1ffLkyenTp52dnaWlpUUrPyoqirnrxZZCtEXVN0BQqGZKS0uLi4s5HA7pC2RfN1Ahnz59KiwsHDVq1O3bt4V6U01NzTclJTZvTegaJiYmoaGhc+fONTc3Dw8PJ9VeU1PDHKfI9NWupKqqOm3atIMHD3bs2JH8GmRq0aLF27dvV65c2adPn1evXqmrq4um0JjDBfgdfM+zU+SC97hx42xsbCwtLSdOnDhq1KjExESEkJKS0vDhw2kshRCSk5MbOXJkA+M2/pvI8BoyWvbIkSM8Hi8mJkZOTu7y5cs7duyg96jT0aBBQUH0YEF7mmgiV65csba2fvfu3b179xBCQv/SD/bv3x8hRG54rq2t5XA45Kw7zR7ZbmFh4ZMnTzZt2nTjxg0yZUBiYmJ9YwssLS3V1dVJCNK6dWsbG5tevXqRg1Tfvn3//PNPEoL7+fmJNgayueDg4PHjx5NxsjQz1tbWz58/J8fHT58+jRkzhgxbpjUTEhIyYcIEsasxi6+lpSUtLe3m5oYQqqmpERp3ghBifkMfO3asU6dO5Be52JTbtGlD3s3IyKADBNPS0q5fv75gwQI64MnFxYWcpKG3CzRr1kxo/Cybze7cuTP9jkEIkSFoCCEWi3Xt2jV6aBatRpqN0tLSiooKmhNaewcPHuzSpYusrGzDNz3s37+/TZs2ZGgLcfv2bRkZGVpLQrVNdispCN2Wubn5ixcvyDCsDx8+PH369PPnzzdv3jQzMyNrNpABc3NzhNCbN2/o5iorK8lhhKZPP25sbEwnsCCt18TExN/fPygoCCGUnJxMr5PSzwp1BLoXxOZQaIsaGhrt2rUjA63I9ygZq0dXE81hUVHRy5cvvby8Tp065ePjQ0fXUQ33RFRPYPf48eOxY8cuWLBgwYIFO3bsaN++fXZ2NinsoEGDTpw4QYJgb2/v9PR0oV0vthRf7Zii2SBLtLW127Ztu337doRQeXm56EwozH1dVFRka2u7YcOGfv36ifamTp06iSZFG3Z6errYAbhCGRMtiOjRDCFEWlRtbW18fPyVK1e6du36+vVrBQWFmJgYskJBQUHXrl35fH5gYKDQRBKN6Urr1q2LjIwcN26caD4fPHjAYrEuXbo0b968gIAABQUFaWlpcjE3MzOTlFH0cAF+U9/xwqG7uzu5fM705cuXo0ePkkEwovz9/Zv8uPV/pc+fPxsYGCgqKpqYmLx+/TohIcHY2Dg3N7eurs7c3Lx3795JSUkPHz5UVFTcu3evp6fn2rVruVxuaGiokpKSvb19enq6aCIY45EjR54/f97Pz2/Xrl1C/5aUlKxZs6ZVq1bk8vyzZ89GjRrl7e29fft2cq1kw4YNsrKywcHBb968kZWVXblyZW5urpmZmZ+f39GjRx88eIAxHjZs2M6dO+sr1Pr16+lgjoCAADoUpqamZsyYMXJycoaGhmQwCkUOrGvWrLl48eKiRYtycnJSU1PNzc27desWGRlJ1jl06NCMGTMePHiwYcMGkr6Tk1PPnj2PHz++e/dumqDoakK14evr26pVK21t7eHDh+fl5dE81NXVnTp1SkFBgY5awxhnZWXRO59FU46JiWnfvv3o0aPd3NyUlZX9/PwEAoGBgYGmpmbPnj1Hjx7t7++PMXZwcOjUqZOrq6uNjc2gQYOys7M3b97cu3dvb29vZiWcPHnSy8sLY8zlcjdv3tysWbPTp0/Tdz99+tSnTx+x1cjhcHr37t2/f//NmzcbGhpu375dqIWcPHlSWVl5+fLlGzdubN++/ZMnT5YtW8Zms0UnF0hKSrK0tFywYMFff/21cePGPn36kHE29dW2ubm5ra1tZGTkpUuXEEJHjhzh8/mHDh2SlZXV0tJav349ybCuru7AgQM9PDzat2+/YMGC169fq6qq2tvbk1khKIFAsGzZMllZ2WXLlh06dGj58uXkGzEhIUFLS2vatGm5ublTp05VUVGJi4tLTk7u2rXriBEjVq5c2alTp3Xr1tXU1Li6ukpLS+vr6y9evJheBdu1axcZ2SnUEvz8/DQ0NA4dOlRZWSmUQ3LLhZubW0ZGhqGhoYWFRUFBQUBAgKqqqoODw9q1a5WVlc+fP//mzRtVVdXZs2d/+fJl5MiRPXr0IAdAhNDt27fJxFrNmjVTVVXt3bv3jh07BAIBLey7d+/09fXHjRtHhnMJ9cTKysqFCxfKyMiQHkfFxcXp6enNnz8/JyeH9K8OHToghLS0tCIjI7lc7pQpU2RkZPT19Um/E9r1r1+/Fi2FUIvi8/lkQPrDhw8TExM7d+5saWmZmZm5Y8cOFosVGBhIS11UVBQYGKiioqKiomJlZVVWVkbzyePxLl68KCUl1bdv3y1btri4uEydOvXRo0d0BdHeJJrUxYsXtbW1J06cuHbt2l69en369On58+dsNnvr1q15eXkTJ05UU1OLiop6/vw5i8Xau3dvRUWFUNcQPZrxeDwyoH7w4MGFhYVr1qzZuXPnixcvVq1aVVdXhzEuKysbPHgwxjg+Pp7FYgkdqUTrE4szYcIEOpiYeci9c+fO9OnTnz9/7uTk9OXLF4zx0qVLu3btOnPmTHt7+0mTJpWVlQkdLhISEurrreDX+p7hlJeXl9gdfO/evczMTLEfefDgAXOwLSAKCwuZx1khDx8+7NmzZ21tbUVFRSMT4fP51dXVtD8L/SvqqztFIBCUlJSQQcQY4+rq6gbC4pqaGvqaz+fTSYyIkpISoSX473CqqKiIzrEkFo/HKy0tpf86OTmtWrWKjDJuYDXR4vN4vMa3Q+YkNEIpY4y5XC6pDZKHrKwsDw+PrKysmJiY169fk+HkGGOy73g8Hs0GGefLxOfzyWDz+jC7lWg1km8gMp+FKNp4yHjnhpWXl0dGRgpVkdjaJvfki6Yg1Fz5fD4pOJnXoOGtFxcXh4eHf/nypYFOQZFMMktdXV1dX08RbQl0LzQyh3w+v7S0lO7uhmVnZ5uZmY0fP378+PFkSq2vTnP1XQ6PZWVlzLYhuuvFlkJsx2wMgUDQcLetj2hvEk2K3NVBAp1GakxBaD2TSmBm4/Dhw2FhYeR1QkICGU7H1JiuJLZTkM0JBAKhvSzac0UPF+A39D3HTmlqaoqdvKdnz55ih5VUVVWlp6d369ZNSUnpO2bjX0B0qCmTQCDg8XhycnINP2idmYiUlBRz7IXQv6K+ukdYLBZzMFPDqZHLcHTTZJQSJTQoiiDntAUCQX1DFgg2m80c80FqRnT4ttBqosVns9mNb4TMzwqljBCSlpYm1yVJMQ8fPtyiRQsVFRUNDY3U1FQyVhoh1KJFC/JxBQUFsoSM82WSkpJydHQ8efLksmXLxOaEebVItBpJPdTXSEgGEEKiY7NEtWzZ0tjYWGih2NqWkpJi7m5KqLlKSUmRgjfccghFRUXmuOCGkf3I3FYDmxBtCXQvNDKHUlJSpAEItWqxDh8+rKOjQ65I8vl8U1PTr44c/S7HRqF9JLrrxZZCbMdsDBaLVd+o6oaJ9ibRpMgOYo4b+arGFITWMzlA0WyEhIS0b9/e1NSU/PvhwwdbW1uhzzamK4ntFOjvChfay6I9V/RwAX5D33PslJmZWUFBAXPkI6Grqyt2mOqbN2/gwUPfqqqq6tGjR3V1dWRCqX+rq1evtm/f/urVq42ZJJNITU398OFDQkJCdHT0j8zat1m8eHFKSoqpqam9vf2jR49mzpz5TR/v2LGjg4NDdXX1D8pek/2etf2bW79+fYcOHbZs2eLu7n748OHLly+TWwXBb6tjx452dnb03wkTJnzriHjw38HC3/VOgaysrBcvXgwfPry+u28oPp/v4eEhEAhmz57d+FtjAAAAAAB+N995VnRNTc2JEydmZGTUd58XxWazdXV1TUxMIJb6yZr8vPpfq4ETmY05x/mrzoP+Q2v7x2nCExHgIQpASCO78z+u98Hlmn+073x2CkjiypUrp06dMjQ0rKqq+vjxo5mZGXkCyYULF+gzvCSRmZnp5eWVm5ubnp7+4MEDyRP8OQICAlauXHnu3DnRuRZTUlJcXFzKy8t9fX3r+3hubu7KlStbt2599uzZH5vR/8XhcP744w8lJaXDhw9HRUX9zj8b7t+///nzZ2lp6czMzA0bNqipqTXmU+Hh4ZGRkfWN6xL19u3bWbNmrVmzZuHChWJXCAgIiIiIkJGRqampyc/PNzMzmzhx4rZt216+fMl8GMtvIioq6vDhwwihXr16paen29jYDBs27Ods2svLS0dHR6g7lJSU7Nq16+DBg5JcjXrx4oWCgkK/fv0QQq9evfLy8urYsSNCKDU11dXVldwziBDCGF++fNnPz69du3ZKSkqpqanx8fF//fXX3bt33d3d27Vr17Nnz7KyMg0NjVWrVpGWf+PGDWNjYzItpyTu3r27fv16Ly8v0aMBU2Bg4MePH+/duzd69GhHR0cJN/pzFBQUdOjQIT09veEBo+D39UsGwDf5iev/bnv27ImLi8MYk1lwCgoKMManT58mz+WQ3OzZs/39/QUCQUxMzHdJ8KdRVVWt7yEPBw8eHDlypNi3Xr16RV44OTmRJ+41rKKigs4CIDkvLy9HR0eMcWxsbGNuSfslysvLJ0yYQOdf8Pb21tXVre8uJKKkpIS8eP36tZub2zdtTk1NLTk5WXR5ZWXlzJkz582bR++aXLx4MZl1ZefOnWR6hR+krKysyXO1dOvWbc2aNRjjV69eIYS+Vz/9qlOnTj18+JC8pvkvKChYtGiRJPPOBAQEXL16lbw+e/asnp4eveMsMjJSUVExNDSU/Dtz5sxhw4bRG9lSU1Pbt2+fm5uLMVZWVt68eTPGmMfjTZ48uXPnzjRLW7ZsIcc0Ue/fv2fOqtCwtm3b1nc0oHR0dKqqqsrKylJSUhqZ7O+gvhmFwD/CrwmnEhMTHz58+OXLF5h0ion2JWY4VV5enpKSQm7fZX7PCd2US+6qFVrI5/OZd9v27NlTaCaL0tJS5je90FbIZ6uqqug6QulzuVzm7f2imRTNIV2fPD2+gdToFvl8voaGBvMAyryN2d3dXWw4FRQU1LNnT/La2dmZhFPl5eVCkQ0tEYfDGT9+PPPxcEzkxmzRe+aFKpCsRmpg1apV5Pl9VGVlpdAN28z1BQIBeZdWQl1dHfOGcKG9KaoxTULIpEmTVq5cSf+trq4mj6Stb/3w8PClS5c2kGAD4uLiOnbsKPatWbNm9erVi/krKyoqinwRWlpakiey/Qj5+fljxoxpWrBbWFjIYrFIhyJPoSHPevuZJMm/kOrq6rFjx5LXOTk5LVq0OHPmDHOFBQsW9OrVSyAQ3LhxQ0pKKikpifnupUuXyLRJ7du3p82ezD1GnrFIkp07d67opnNycjp27EjmzSKqqqqEOhpzggCho4GokpIS9PeT7yihKRiYXU8In8/n8Xg8Ho85JYro+kJ9nxDtbkLbra2tZX7rCXVqcrcsXVNsgvT3DPjdfOexUwih/Pz8V69e3b1798GDB2/evBH7IDN9fX0DAwM/Pz8vL6/vnoF/LvIkTiEtW7YkN+uePHmyW7du7u7uT5482bJly6tXrwYMGJCamlpcXDxz5sxx48bt3r176NChZP5chND169e9vLxu375NHhR16tSprKwsb29vMpNhcHCwk5PT06dPJ0yYQCa5vnbtGt3K/v37lyxZMnjw4BMnTsyaNUtfX//Fixdbtmzp37//0qVLSfrkMfUzZ86cPn26QCBgftzd3Z1ZhC9fvgwePHjRokV79+4dOXKknZ2dn5/fypUr9fX1b9y4gRDicDgbNmy4du3amTNnRo4cmZ6ejhAqKChYsWJFQECAi4sLnYDj8ePHe/fu3bVrV79+/cgDd8XCGF+/fj03N/f48ePkqaKlpaUbNmwYNmxYnz59yFgcNze3M2fOeHt7Dx8+nM/nx8bGvn379vHjx/7+/syk6urqnJycDAwMdu3aZWVlpaKi8uzZM4RQcnLyli1bjh8/3qtXr6CgoKysLAcHhylTpixcuFBLS8vX1zc8PDw8PPz48eOFhYWZmZkrVqx49OjR+vXr58+fX1dXJ7R+YGCgtra2m5vbpk2bevXq5ebm5uHhMX/+/Pbt25PnCgjtTSGNbBJCTpw44ePjs2nTJrqERPD5+fnp6elz5851c3M7ceKEnZ0debL9kydPxowZU1FR8fbt24CAgNGjR9Pb+p49e3bv3r1z587RG05fvXp16dKlS5cuzZw5kzxb99mzZ8OHDxfNxuPHjy9dunT69GkywQRhZGSko6NTU1MTFRXVv3//Q4cO9e/fPzMzU2ziZWVlu3fvXrhwYez/Y++946LYvcfv7FKWroBKFQEVERUUEJGOIPaGhWuvCDbsqCgq9nLt2AtiQRHbBREBQYoC14KCKIgiTZAmHZZddjfPH/l95pnvzLKCLuK9N+8/eA2zmeTk5CSbTTLnvH1ra2ubkZEhVAAI4ZUrV6Kiovbs2ZObm5udnT1q1Khv376hnWL06cOHDxctWgQAKCgoWLhw4cmTJ4ODg+3s7Ci+sJHYsrKydnZ2fD5///79PXv2JF4Bi46ODg0N9fT0LCoqopeL0ty4cePBgwfbtm27e/cuupOTk+Pj43P79m1vb++QkJDm5uYjR46MGDGirq5u69atVlZW375943A4/v7+Li4uPB6PLH9GRsbs2bMJL+TFxcWnT5++e/fusmXLamtrS0tLvb29lyxZUlpaOmfOnBkzZtBb4cyZM8T4ExsbW19fTwnHaWlpmZaWlp+ff/fuXQMDg549e5I/nTVrFtoWJIAQhoWF9erVS1NTE91RV1fPyMhAAabIJCQk5ObmBgQEvHnzpqCgwN3dPTk5eeLEiagnZmRk7NixIzo6mmI89fX1I0aMOHHiBAoIS1BaWooGNH9/f+R89cyZM4cOHQoLC3N0dIyLi2Oz2b6+vn369PH39+/SpQvh+hxx5coVLS2tvXv3jh8/XkNDY//+/fT09METAPD8+fMdO3ZERETY2dmh1Ur6YOXr6xsXF7d//360TUzp1FeuXNHR0cnMzGyp/2ZmZs6bN+/BgwcDBw6cN2/e/fv36e2I6UjEOztLTU09fvz4sf9LXFwc3Ysah8NBn4pXgH8H5NUpCCGPx5OQkLh9+zabza6vr1+2bNmdO3cghHPmzEFRnA4fPmxmZtbc3NzU1MRisdDPRAcHB+QkMDIyEuWjr6+P9ghqamq6du1aVFSErhUUFOLj4ymloDAm6IfUoEGD0C/OnJwcKSkpgUAQExOzfPnywsJCdCcsLIzyOKVG7u7uixYtghBWV1cDANBv+osXLzo7O0MI9+zZgz6FEPr6+jo4OEAIp0yZghy1NzU1KSoqPnnypKKiwtnZubCwsLCwcMiQIWvWrIEtr06FhYUZGBigax8fHzRn4nK5srKyaM/CwsIC/W7W0dFJTU2FEJqamgpdnYqJiZGTk0ORH3x9fdESi7Ozc2ZmZmFh4apVq5B38u3btw8YMIDP56OUCxYs8Pb2RjkMHz6c2EaxtbX18/Ojp+/duzdKExoaKisri/Y+Zs2atXv3bqGtSaaVJkGGz+draWm5ubmRbz548AAA8OrVK1RBDw+P5ubmly9fysrKstls5AYM7enk5uYqKCigfn348GFkHo8fP0ZVu3HjxrJlyyCEHz9+VFFRQVY0ZsyYW7du0YX38PDo1KkT/T6EMCIiYvjw4YGBgdXV1UZGRqjhhGZ++vTpOXPm3Lx58/79+9++faOnEQgEEydORNrbt28fck/v6uoaHBwMIeTxeGPHjg0NDa2pqdHX10crBNOmTduyZcvTp0+JtiMzc+bMAQMGzJgxo0ePHpcvXyaWT/bt24d2Jx0cHNLS0oSWO3/+/JMnT0II8/LyZGVluVwul8vt3r072p42MTFB3vDv3LkzfPjwS5cuVVZWqqiooEYMCAggDJ6QH0Koo6OD9JOamjp06FC0hjF37txdu3ZBCJcvX75x48ZLly6lpqZqa2vTqzNt2jRiOWrr1q0AAPLaDIQQBf+Ojo7u37//sGHDhLYXEsPGxmbRokVmZmZr1qxBgwzBrFmz6Gt4yBkKWp26efPm6tWrUTXHjRsHIfTz89u/fz+EMCoqCq0GaWpqxsTEHD169O3bt0JlQIGN0UrSs2fPiHEgNjZWWVm5qqoqLi5OWlr6y5cvKGQh+dnm5mYGg4HctcfGxjKZzNzcXHL6qqoq+uCJPKejrM6ePXv27Fn6YMXj8bS1tdFiFbIHSqfm8/kSEhKoUkL774QJEwICAiCEa9asmTFjRktNgOkoxOnG8+vXryg8FoPB6NGjh6qqKofDKS8vR79pxo8fT3an1hqvdxiEhIQEiuCGfMH5+/t/+fLl9u3bRUVFKHCblJSUqqoqciCpqqpaUFCgr68/Z84cR0dHHx+f9evXUzJMSUmRkJBAvxqVlJRsbW3Dw8Pt7OzIpUhJSSkoKKBm0tDQQJ7DlJSUmpuba2trHz58KCEhkZKSAgAICgrq06cPRUgKUlJS6H6nTp3k5OSIiPRo6Sg0NHT+/Pko5bhx43bt2lVZWUkspLFYLOQfDxWH/q5bt4741dsaNDU1kYM+DQ0NNKX7+++/X7169fz5cw6HI9qxk7S0tIKCAnKLOnfu3J07d3758uX9+/doFcTa2hqdimWxWL1792YymRQvrGw2+/Hjx8Sv2HHjxt2+fXvr1q2U9FJSUsh9n4aGBnGtpKSEIo6JaE3QapMgP1JYWFhUVET4J0QEBwdraGgMHDiQy+UmJSWdPn1aUlKSzWZLSUlJS0unpaWpq6sjHyiPHz8eNmyYlJRUZmbmwYMHP3/+DABwcnJycnIqKiry9vZGP/qTkpKGDRvGZDJ5PF5iYmJgYCBd+JcvX5qamgrVfFRUlLy8/OjRo7lcbkFBgampqdDMwf/OLbm5uQEAhKa5ePFic3Mzih25YcMGAIBAIIiPjz979iwAYN++fdLS0gYGBitWrAgMDEReIp8+fWpnZ2dtbW1tbU0RDEIYGRm5b98+CwsLY2PjIUOGIP+KiYmJp0+fTkxM3LBhg5ubm7GxMb3c69evExGXy8vLmUwmg8EoKCioqamxtrauqqrKyspCEfpQ9ceMGVNTUyMnJ4daMDo6etSoURT5P336VFdXZ2Fh0dzcPGPGjJ07d6LBFgWbQ09NnTp17ty5V65cEXqI+9OnT1OnTkXX2traAICSkhLyghMK/KelpdWlSxe0ftwSdnZ29vb2AQEBPj4+lE6qrKwsOk6rm5vbmDFj7t+//+bNG9QrXV1dLS0t3717d+DAAeKU/fr162fOnNmaF3TCwsII63J0dGxqakpJSencubOCggI9ZiIAQFJSEn1/gf/FG33z5o26ujqRPioqij54NjY2duvWDZni4sWLAQBoaY08WElISDg6Og4YMODw4cMo0CqlUzOZTMI9qdD+CyFEY46JiQndvyOmwxHnnOb58+cAABkZGTc3t/Hjx1tbWw8bNszNzW3WrFlqamq3bt0SsTuDaT3Xr18/c+bM5MmTe/ToAVt+MXP+/Pn37t27evWqo6MjJXAmg8EoLy8n9i+UlZXb5GwXQlhTU4NiwCGEDkytzArJg7ZFkDCSkpLowBbFyX5NTQ2PxyMKJTyM/xgrVqwoLi52dXWVl5cXoUYKEhIS0tLSEMKqqqoxY8YgScaNG8fhcFp6hMFgMBgMYktCWVm5Na7ACZBsIloTtNokKBUBAPTr14+4k5ube+PGjQsXLjCZzOTk5L59+/bq1QsAEB0dPWHCBCaT+fjx4+HDh6PEUVFR6Es9PDx80KBB5Dn02bNnXVxcOnfuDCG8cOECet/t+fPnvXr1EuruX0VFpaWX0aKioqZNm9alS5fo6GgHBwdpaWmhmQsEgqioKOKFQaFp7t69S5lGpKam6ujooJn92bNnTUxMiouLL168iDa53rx5U1NTI3RfDADw6tWrioqK4cOHDxgwwMzMjHhp9Pz582hTzMfHx9PTU2i5V69enTt3LqpybGzsqFGjJCUl9fX13dzcLl++vG3btps3b6I5cWRk5MSJE7t16xYdHT1ixAgAAITw8ePHI0eOpMgfHR09fPhwJpOZmpr65cuXyZMnAwDYbPaLFy9Gjx5dUFCQk5Mzd+5cJpMZFRWFHqegoaFB/Kiws7NjMpmUXbDXr19369bNwMDAxsYmNzcXzfJbwsXFZceOHbNnz6Z4eWWz2aJfW0tPT1+8ePHw4cPNzc2RJffv3//169clJSUDBw4ktkoXLly4a9cuIja2CMhdD7S990lISFB8UAsdPKuqqvLz84k0aISkD1YBAQHe3t7u7u5oh110p6Zz4MCBxMTE8+fPv3jxYufOna2vBebXIM7pFFppsLW1pbj6VVFRGTFixOjRo6OiotAyLEY0lAj2COJfHx8fe3t7BoNRV1dH74TEncDAQBcXl9TU1OLi4k+fPoH/bewCACwtLVVVVdHBAgDAx48fJ02aRCmFAuX+kCFDTpw4kZOTAwB49+4dsYvfyu9ySrKJEycSng6ysrImTJjQvXt3bW1tFDJWIBBwOBwul2tubp6YmIjKqq2tJdZ7hCInJ1dfX0/8Szh0QRe5ublnzpxxcnISCASNjY1IaZRHyBBajY+PnzJlira2toqKyubNm1GGBw4coDcZoW0ZGRkXF5e//voL3c/MzJw2bZpQPbSkHyCsNcm00iTIaGtr9+nTh+iPHA5nyZIlW7ZsGT16NAAgOjp6zJgxAIDy8vLbt28fPnwY/O87G50Qj4mJcXJyKigoKCsrI0JIoW+7169fo2WDsLCw/Px8S0vLwsJCNBV79+4dXZKZM2cmJyeTf2uFhoZ++fKlpKTk69evaMkkOjp63LhxHz58EJr58+fPlZSUCD8FQtOUl5dT5EQiff78ubm5uaKiYsKECY6OjjweDy3DPHr0aPLkyS0FS3n48GGvXr10dHQAAIsWLbpy5QpycfT169ehQ4eOHTu2U6dO6MAWvdz8/Hw0W2psbLx27Ro6aIhcoowaNer48eMojMnHjx/r6+tnzpwJAIiKihoxYsSHDx8yMjJYLFbnzp3RkieSH+ln5MiRubm5+fn5vXr1QnO1M2fOeHh4DBgwIDIycsyYMb169YIQxsbG2trakr/7EQMGDCCmHX369Fm+fDmK0IzuVFRU3Lp16+TJkxISEuvXr1dTU0NvMJAVgiZYaD8OALBp0yYXF5dx48aVlJQQyUpLS8kzeIS0tDSTyURd79ChQ7q6uvLy8oQlBwYG9u7dOzIy0s7OLjo6Gj1iZGR0/PhxV1dXoT/RkQDo7/jx41NSUioqKgAAVVVVMjIyyA2E6JEKFZ2fn49iNpPTCx08LS0tU1NTg4KCAABlZWWXLl2iD1b19fX3799fvnx5UlISWqYVOkS3JAwA4PPnz3v27HF3dz9x4gTlpBrmt0CMG4enT58+duyYiBiNdXV1t27dQsNxc3MzPjsllHfv3qEfl1u2bEE79OgFmZUrV6JDNvPnz9fW1l6/fv3SpUt79uz5+PHjsWPH9ujRIyMjAw03q1at4vF4I0aMOHXqVGxs7IoVK/h8fnh4OIvF8vT0zMvLgxA+e/bM0dHx1q1bhw8fRkdDyKVUVlbOnDlTVVX15cuXaWlp2traTk5OX758OXbsGADg0qVLXC538uTJkpKSffv2XbdunUAgoAhJJjs728TExM7OLj8/Hx0LW716dWlp6ezZszt37vzq1Ssul+vp6blq1arQ0NA1a9agQ2OxsbFqamqurq5r1qzp3r37+vXrGxsbDxw4ICUlpa+vP27cuKqqqtzc3OHDh2tqahIxSglqamrU1NQWL16ckJBgZ2fXq1ev9+/fR0dHM5lMT0/P+vp6Q0NDc3Pz/fv329vbOzs7l5SU7Nu3r1evXpQXmiCEiYmJMjIyvr6+gYGBixcvRuJFR0d36dJFXV19yJAhr1+/zs/Pd3Bw0NLSio+PhxC+efOmf//+Q4cORaeyioqKRo4c6e/vf/369e3bt/P5fEr6hIQEFou1fPnyiooKtPIfHBz8+fPnQYMGWVlZFRYWUlqTImErTYLy1MuXL62srO7cuXPz5s2lS5eS3/q0sLDYsWNHQkLCxo0biVeulJWVd+7cyWazGxoapKWlT58+zePx3r17p6uru3v37oCAgMzMTAjhsWPHevfuvX379nfv3nXq1OnIkSM8Hm/27Nnz589vyQ/Fjh07+vTpc+DAgT///HPHjh3v3r2DEAYGBv7xxx8owZAhQ5YvX44skJ751q1b0UE6hNA0169f79Onz6lTpwICAlBU3UmTJk2fPh0NRytXrjQ2Nj548GBwcDBSr52dXVhYmFBpk5OTNTU1e/XqhV7Fra6ulpGRWbJkSV1d3e3btzU1NX19fS9cuIBOL9HLPXv27MyZM//+++/du3cT78fl5uaiFx3mzZuHTqcdP3584cKF6FNTU9M1a9aUlZVFRkb27t37/v37FPktLS29vLy+fv1aXV1tbm4eGRl5+/btU6dOocnNpEmTrl27hjqFjIzM2bNn6SaUk5Pj6upK/CsQCI4ePTp9+vTAwMCTJ0+OGTPm4cOHxKdlZWXTpk2zsbHZuXPngQMHtm/f/ubNGzQIMJlMMzMzdIqrtra2T58+/fv3T0pKghDy+XwzMzOhb6eOHDly2LBhjx8/vnjxYufOnefPn4+CXV6+fHnDhg3e3t7x8fFeXl4lJSWPHj2SkJDw9vYuLy83MzPr1asX5TRhbW3twYMHAQBnz55FTXD27NlJkyb99ddfmzZtSk1Nra+vX7FiBQDg8uXLQoNbM5nMBQsWXL582dPT89WrV/T09METQnjmzBlZWVkNDY2pU6eiY2eUwaqurm7QoEF37ty5evXq8ePHIYTkTs3j8UJCQgAAmzdvLi4uFtp/V65cqaSk1K9fP3QYq6XA3piOQpzTqdu3bx8/flz0W7tcLhf5DMTTqZ+BeHtWxGvw6BVc0e/J/1jgd7IYon0UtQkOh0MZIIh48uQhmMPhtPJVYQ6HI8LDGeGpobm5mTh1Sz9EDyFMTEzs1q0bJc48yqElPzpCqa2t/W5k+5b4bmu2xiToNDc3Z2RkUMygurpaXl6+qqqKog2yZyBySzU3N5eVlZFTVlZWIs0Tydhstui6s9ns9PT0lr4hyD/S6JnTEZqmvr6eXIX6+nryt2lZWZlYPA5UV1dTZgyUcpFU5Dv5+fnorYWmpqYVK1aQXVcgyNUnakSWv76+nhBeIBCUlJS0VBehFo44cOAAmhCTKSgoaKm78Xi8nJwc0c47yAQGBv71118tfUrUkaggUhFyW/CTIxUxkrQGJpP5/v17+s9CCvQM6UMEZbDi8/k1NTWE95PWDNEEPB5v7969xcXFmZmZL168CA4ODgwMbM2DmF+GOI+iGxoaFhUVVVRUCA14jJCSkhozZkxkZKSIsyaY70KELhcRw5zJZLJYLHJYcjo/FvidLoZYkJaWJrZFEEQ8eXIt6MlEZCjiUwaDgeK0o/Oe6CaKV08BOYORlJSkh7tvk//in1HXd1uzNSZBR1JSkr75EhcXZ2ZmRn5xBIFOxyOQ6ohMKF2esCsimdAXFMjIyMgMGDCgpU/JZ/vomdMRmobSuJR/RYxabYLu/p5uVBTJ3759i/agWSyWm5sbes2eDLn6xLPkbMnXDAZDRMhUoRaOWLNmzeHDh5WUlMjnx7t3795SehQorKVPKbx48YLJZI4fP76lBEQdiQoie0Pnu39ypCJGku8CIQQA8Pl8oef8yNAzpA8RlMGKyWSSO1FrhmiC2NjYBw8eeHp6amhoCASCsrIy9JIB5vdBnGen+vXrp6enFx8fL3qqJCkpOWrUKMKFDAbzO9PQ0PDXX38pKCgEBwf/F4LHVVdXx8fH9+3bFx9z/GWMGTPG3Nz82rVrt27dKi4uJnsC+5Wgc1HtFDZOS0tr1qxZ7ZGzeAkMDNTW1r579y46Cvz7YGNjY2trO3LkyLFjx65fv97Q0FDEzw9MhyDmmH08Hu/Zs2f5+flDhw4lTkQKBUIYFxf39u1bLy8vMQqAwWAwGAwG84tplxDINTU1nz590tTU1NDQEJ3yxYsX6L0JDAaDwWAwmH8o7TKdIgMhrK+vb25ulpGRkZGRwd47fx7kPPfHnhUIBMgNEvkmh8Np5f69uMT49fwjpBWXkP+IyrYV0ZX691VZLDVCO3dEPlwut5XnDsUuSXvwY9VpV0To6rdVI0ZctMvkhsfjZWVl3bt379KlS/7+/gEBAdeuXbtw4QIKgPX06dNv3761R7n/EYyNjQknRm1lxYoVq1evJv49fvz4nTt31q1bh1zdtJKMjAwHB4dDhw79mAy/ntu3b5ubm3e0FKJ4/fq1ra3t/v37fzKfwMBAHR2d169fi0Wq34Ty8vIFCxYQEfHa9Ok/kVevXpmZmSGnaz/DiRMnbty4YWhomJycHBMTc/LkyZEjR6Joca3n69evioqKyG/T7wOXy/Xz8zt79myvXr1QjJoOJywsTF9f/8WLF/SPcnNzZ8yYgTyhY/7FiPPNPgAAhPDVq1evX79ms9lCPy0tLS0tLU1NTdXV1XV2dm6TM24M4u7duygGQutJSkqysrICAPj6+hILhGFhYV++fPHy8po8eXJ8fHzrc+vfv7+qqmpr3Pj+Aurr63Nzc0WfyhwzZoyJiYmIBOnp6T179hTx0lN7M2jQIHV19Z9X6dy5c5cvXy4WkX4funbtampqSjh6bdOn7UdrDI+A6ICtSWZmZiYpKfmT+wafP3++evXq8+fPbWxsVFVV+/fvn5mZOWvWLEqkgZYgeoSGhkZKSkqb3mD9BVy/fr2+vn7btm2Ojo4iXvD8lYwbN27evHlCP9LT0zM3N0dBDzH/YsS5OgUhfPToUVJSUlNTU7du3YyMjExNTYcOHerg4ODs7Ozo6GhjYzNw4EBdXV1ZWdm8vLygoKDf5IfF7wYlhByEsKGhgfgXBcgj/m1oaCC/cYZeq2Sz2UQYhIMHD16/fh1dq6urE+/3RkVFEf7rBw0aRH6jBzmnESpbU1MTl8slPAsIlQHx3caFEKKniNoh7+fkNMj3DKV2RM7Nzc0zZ8788OEDkUBo9D1ZWVldXd2WMikpKZk4cSL5B0BzczNZ4RR4PJ7QXwtEzsSzlIZD4pH1jKrf1NQEvufWgQxSEeHMnQIln9raWrqE9KZp5bcsRX4AAHIoRc+tNbMBihhCZRMIBPX19RR7E/2p0B7B4/GIN47p5k03YKHCENZFMTyBQIB8CBEpyWond0Dwvwgk9LqQkxE1ojQfj8dryTIp2aanp0tJSQEAdHV1+Xx+QUGBtLR0p06dkCd3ej5kW6X0CBSoW2ihiO8OQQiKVaBoB+QEIkJnUp598+YNsvP+/ftTji6I7rzkZHw+n9LorRmRhOaPfLiT7ZDSHCJ6N10tPB6Pz+e3pA0R4w+mYxHndOrdu3f5+fm2trbu7u5//PGHs7OzjY3N4MGDjY2NjYyMBgwYYGpqamdnN378+EWLFrm6unbq1Onx48diFOBfwNu3b3fu3ImieaA7yIXu9evX7e3ty8rKUlJSBg8efO7cOQAAh8Px8/M7deqUra3tqVOnIIS7d+/u2bPnxYsXp06dqqOj8+3bt/Ly8tDQ0Ldv354/fz4vL2/69OnodeW4uLinT5/GxcUdPXp0zZo1nTp1QrE1ysrKNm3aFB4e7ubmdvLkSbJsfD5/06ZNQUFB/v7+RLSsL1++LF++/NGjR2vWrFm8eDEaev7++28/P7+IiAg7O7tnz55lZGSoqamFhITU1NSsWLECRdh48uSJtrb2oUOHNmzYYGxsfOTIkVOnTi1cuLBHjx4oFsfnz583b97s7+8/cODAZ8+eVVZWzpo1a8KECTt37nR0dET6efv27YsXLyIiIh4+fNjQ0LBu3bqEhIR58+aRl9zr6up8fX1RoR8+fDAzM1u3bt2aNWuMjIz27NmDVJGbm3vx4sW0tDQul7t+/fqbN2+eO3duxIgRFHceXC53wYIFsbGxGzdu9PPzI3/06dMnW1tbT0/PXbt2OTs7u7m5hYaGLl++vGfPnsgRfF5e3uLFi5OTk8ePH//o0SM2m+3r62tkZHTixAlVVVUiLiyEcOnSpWvWrMnMzAwKCmKxWKWlpTk5OcOGDVu0aBGHw/H29u7bt++2bdtGjRrVrVu3J0+etGRLjx498vX1TUhIsLa2LigoEKpAAEBmZuaCBQvCwsJMTEzmz58fGhpKL5cuP3p248aNgYGBy5YtGzp06ObNm+vr6ymt1pJs+/fvv3jxYkhIiIuLi0AgENouAIDAwMB9+/bdvHnz5s2b9Ezon1J6BADgyJEj3bp1Cw4OXrp0aY8ePR48eLBr1y5XV1dzc3M0GaUbsFBhKNZFNrygoCAdHZ3Tp0/37dv39OnTFLWTOyAAIDIycu/evX5+fpaWluQotpRkAID09PQlS5b069dv1apV6M65c+cOHz48a9asOXPmUKaDlGxTU1Pv3r1bVFTk7+8fFxeHwjH5+/ujhqPnQxlkyD0iMDCwe/fumZmZERER8vLy+/btAwAUFRVZWVnl5+e3ZggCtL4MAAgKCgoMDAwODkaRFunjHkFiYqK3t3d0dPSkSZNOnz4NAAgLC3v+/Pnz58/9/f0rKyuJlPTOW1ZWZm9vj9ZrL1y4wGKx8vPzX758OXjw4C1btjg4OKAYPojvjkhCB4fy8vJly5Y9fPjQx8eHmHy31MrfrVpERIS6uvrJkycXLlyora0dFxdHTi9i/MH8FojRJeiNGzfa5CQaudWnuJH9j+Pn57d//34IIYqckJKSsnjxYvSRu7v7y5cvIYQODg4nTpyAEG7ZsiUoKKiwsPDmzZtSUlK1tbWpqamSkpLIn6+NjQ0KgODl5bV06VIifyKUxLRp0/bu3QshRN8rKFrF2LFjCwoKIITJycnEU4iTJ0/6+vqi62HDhqFnhw8fHhQUhG5aWVnt3r27pqbG3t4eRbE4derUhQsXIISmpqY3btyAED558kRHRwel19PTQxLevXtXSUkJeUOeMmXKoUOHIITOzs6ZmZmFhYVeXl5DhgyBEB4+fNjc3JzH4zU2NkpLS3/58gVCaGxsHBISAiGMj48fNWoU8lSOQrsQxMfHq6iooOtx48atWrUKQhgTE4OimFVVVQEAkOmikFgopY+Pj7OzMzmfT58+2djYQAg/fvyorKxMabv58+cvWrQIQoi+QhITE5HSxo4dCyG8fv362rVrIYTnz5+fNGkShDAuLo7FYhUXF1dWVgoEghkzZuzcufPOnTtEbBM0OqMYL1u3bkVffjExMYqKisgj86ZNm3r37k0RQ0VF5cWLFxBCT0/Pe/fuQQhnzJiBgloIVeCECROuXr2K7GTu3LktlUuX/82bNyjK/bdv3xgMBgpeRG81oZiZmaEASpqamunp6ULbJT093cHBAaXfuXOni4sLOQehn9J7REFBAQAAlbVixYphw4ahR7p06fLq1SsozICFCkO3LsLweDyehITEvXv3GhsbGxoa6GonOmBFRYWzs3NhYWFhYeHgwYM3bNhArhG5n1pZWe3cuRMZiZycHJJkxYoVhYWFnz59kpSUfPToEfGg0GyvXr1qYWGBEiAXYiiAAT0f+iBD7hHoAPXbt28hhLNmzVq+fDmEsLS0FHXSVg5BdKtwcHD4+++/4f8GOsq4R1BTU9O1a1fUfMhZ/9OnTyGECxYsQH7kyQjtvGiWjG4So5y9vb2Xl5dAIPj27Rs5B9EjktD8p0yZEhsbCyFks9ny8vLJyclCm+PEiROjR49uTdUUFRWR7/gtW7ag8YRA9PiD6XDEuTolJyfXpi12CQmJfv364WPpZFxdXfft2zdv3rxBgwYBAO7evYtCkQMAzp07Z2ZmBkjrxhEREQ0NDSkpKRISEkFBQQKBQEpKislkIn++mpqa6LuEjNA1Z2K1vLGx8eXLl8gPsqWlJWV1KigoyNTUFF2jhkZxWJFUAICxY8eGh4cnJSV169YNndBasmTJwoULW6qslJQU8hGsoaEhIyODzkAoKSmVlZXV19e/f/8+IyMjJSXF1tbWx8cHpVdRUZGQkJCVle3cuTPFz+SQIUPy8/NtbGyKioqQ9oTWWkpKCvmMFqqf0NBQ4tD62LFjY2NjyTs4PXv2jI+Pj4qKiomJoS/FE9VRUVGRlpZGKlJSUkL+AGfMmLF9+/Z79+6lpaWhZ1ksVqdOnTQ0NJSVlVET3L1799q1a2PHjm1JY6guioqKaMd27ty5KFCu0JSnT582MzO7fft2cXExKlGoAiGEb9++BQCIPl5Glx9CmJ+fX19fr6Kioq2tDSEU2mpCefny5devX+/evcvlcgnZKO0SHBxsbGyM0tMHFqGfCu0R4H/+tTU1NYmUqF2EGrBQYURYl4SEhISEhKGhoaysrJycHF3tBCkpKehvSkqKt7f3hAkTRChcW1sbANCjR4/GxkYej/fw4UMmk5mSkvL69esbN2707Nnzx7Kl5yN0kCFgMpnE0YLVq1dfvXq1sbExODh49uzZLSmcMgQJtYr58+c7Ozvv3bvX0dER0MY9ctUkJCSQl/ZOnTpZWVkRsYfpiO68ZFgsVt++fRkMhoqKCvm+iBFJaP41NTV3795FMsvIyKDDl61sjpaqJiUlhc5gaGlpUQYo0eMPpsMR81H0tsJms+mxLP7L9O/fPzU11d3dfeDAgUlJSehnIgGEkHxQoKampk+fPra2tujfn99Qr6mpQVMZNI5QiisvL6ec+UA+F4qLi9FWmrKysqysbFVVFTlePSWT1gAhrK2traqqGjt2LApOIhAI6Ad0KLBYrBcvXnh7ew8dOjQkJGTMmDFtKpSgqKgIXSgrK0tJSaHvY0R9ff2MGTOOHTtmYGAAW31SGKVMT0/ft2/f+fPna2pqsrOzhaZ0cXH566+/Tp48uWzZstbkjCZGLZ2gv379elZW1o4dO9ByV0uZHDhwYO7cuRcuXEhLSxOxg0CXf+DAgRs2bFi2bJmFhcXKlSt1dXWLi4vprSZ0Br98+fJRo0a5urquXr26JdnKy8tFxFcQ+im9R4joFMgy6QYsNHHrrUuE2mtqavh8PvGGV5s6bE1NjY6OjtBn25QtPR/6INPSs6ampkZGRsHBwWhlBbRuCBLal+fMmdO9e3cPD4+IiIj4+HjKuEd+1aa8vByFeAIAKCsri357SUTn/RkInVDyR6ESa2pqyN9irW+ONlUN/Oj4g/lliHN1isFgpKamtj59ZWXlmzdvxBUq699BYGCgrq5udHS0paVlTEyMnZ3d+fPn0cGapKQkFMyL6EiDBw/28fFBv8Bu3LiBDj8REOeU5eTkiAUMcickrtEFhFBDQ0NXV9fb2xsNeUeOHCGnHzx4MNoWAf87gCwjI+Ps7Ex4bcjMzJw2bZqlpWVqaio6zlJaWhoQEAAAUFZWRu9a5+bmCg3VQjlVraGhoaKisnXrVgAAn88/cOAAZfig1w79UPb39z9w4ADlqI3QoYfIgcViMRgMlMmECROId8SysrImTZpEPvV/+/btb9++6enpoWGUnqeIGh06dEhPT09eXp78LEUwBQWFO3fubN68Gb1oyWKxZGRk6HojHo+Pj586dWpLs1UfHx97e3tUNbq0xJ2cnJzdu3cvWrToxIkT6GtMaLl0+TkcjrS09Llz55YtW7Z27VrQQqt9/vw5MzOTXHRubu7Zs2eHDRsmEAjYbDZFNuJfCwuL8PBwNIOnH3gX+qnoHkFvFKEGLDQ93brI3QqQmpKudiKlmZlZQkICMrDq6mp0uouAkiF6ljgDbmFhceLECXSIJz09/cGDB0RKodmi3QeybOgvPR/6IEPuEeD/WqmXl9fGjRvt7e3Rv60ZgoRaRWBgoKOj4+vXr/Py8nJzcynjHpGDpaWliooKsSKVk5ODXLqQa0cgtPOqqKgQlgz+9/IHEDlrJAsvOn8tLS1tbe2goCDwv2kil8sV3crfrZoIAdo0/mA6ADFuHJaXl584ceLWrVsZGRmUCOpkuFxuYWFhbGysv79/UlKSGAX4F7Bhw4YNGzbEx8evWLGirKyMz+fPnz9fUlJSV1d3z549EMIXL15oa2uPHz++sLAwLy9vwIABCgoKJiYmN2/ehBBu2bIFABAWFpaVldWjR4/hw4dXVFTExMR069Ztx44d6enpI0aM6N2798uXLzMzM/X19R0dHb98+XL58mUAwPbt2wUCQVJSkpaWlrKyspWVVU5ODlm2goKCgQMHWllZeXh4WFpaTp48ubi4+MuXLy4uLidPnrx+/fqOHTtQHPszZ87IyspqaGi4ubmhExshISGamprjx4/ftWuXmppaVFRUQkKCtLT08uXLy8vL16xZAwC4e/fux48f+/fv7+DgUFRUFBUVpaqqqq6uPnTo0PT09Orq6rFjx/bo0SMjIwOdqEXxxXbt2mVgYHDhwoUHDx5Mnjw5JibGz88PnVtCVFdXb9iwgclk3r17Nzs7W09Pb/To0SUlJSgyGlpCcHZ2dnZ2jomJ4XK57u7uq1evDg0NXbt2LSWqfFpamoqKyrhx4y5fvqyoqIiO1yCys7MHDBhgZ2eXn58fEhICAPD29i4pKfnjjz+6du365s2bixcvdu7cecGCBYcPH1ZUVDx//vyKFSsAAIGBgTweLz093dDQcNSoUQUFBUuWLFFQUDh//jyPx1u3bp2+vv60adOWLFliYWHx8ePHxMREOTk5X1/fy5cvu7u7UyREI/vatWvr6urmz5/fvXt3b29vDw+P3r17x8bGClWgl5dXp06d+vXrN2TIkHXr1jU2NkII6eVS5L969WpOTo6qqqquru7AgQPHjRv3+PFjCCGl1SCEc+bMkZOTQ9kiOByOoaHh4MGDDxw4YGNj4+LikpKSQm+X5ubmqVOn9urVa968eVOmTBk4cCA6E4YQ+imlRwgEggMHDgAALl++XFxc7OTkhJxyJSQkSElJrV69ur6+nm7AQo2Ebl2E4V25cgUAsHr1atQWFLU/f/6c6IA1NTX79u2TkpLS19efMGECZZAkksXFxXXr1m38+PEVFRW+vr4AgJs3b3K5XFdXV0lJyb59+1IOXUEIKdkWFhZOnz5dRUUlMjKypqYGKeHcuXPV1dX0fOiDDNEjHj9+fOvWLQDA5s2bGxoaIIRcLnf48OFEua0cguhWMWLEiNOnT8fGxq5YsUIgEFDGPXLVEhMTHRwcQkJCDh06hIp48+ZN//79raysXr9+TU4ptPN+/PhRV1fXycnpwIEDGhoae/fuTUlJ0dDQGD58eFZWFvnx745IQvOPiYlRU1ObPHnymjVrtLS0Nm3a1NTURGmO3Nzc4cOHa2lpPX/+XHTV0LtZmzZtKikpGTlypJaW1vv371sz/mB+B8TsFT0zMzM2Nhb9opKWlpaXl5eVlZWQkGAymTwer7m5ubGxkfjRo6urO27cuLbuBP27QdOR2tpacrhy9Co4Wiqn8+3bt86dO4v2t9vQ0NAmp0rfvn1rKaB6ZWWlsrIyl8slO1Kvra2Vk5MjvyeM3sQmx1dns9mSkpIMBoPJZLbSOT6EsLKy8ruh3VHtBAIBk8kUIbloGhsbicV2DofT3Nws1J8Nh8NhMplSUlINDQ2ysrJt8vJP7KLW1taSA8uLpq6uTkFBgVD406dP3dzc8vLyGhsbKeHrhT6rqKhIvqDA5/MPHjw4d+7c6urqhoaGT58+AQD++OMPerl0+VNSUoqLi83Nzaurq+vq6m7dunXs2DFAazUI4eHDh9esWUPu6RDChoYGBQUF9L56S7aNxJCRkREIBEId9wv9tDU9ggLdgCkIta6WuhVd7eSUXC6XzWYLbbvv9tPa2lppaWmh6hKRbWvyoQ8y5B5Bhh5EoTUKp1iFQCBobm7mcrlIP0LHPTKVlZWUc04tQe+8AoGgsbFRQUHhx8I/fDd/CGF1dbWysjI5/9Y3R+urBn5u/MG0N+IPMlNRUfH3339//vxZRM7KyspoGx7PpTCYNpGQkDB16lQRb1+3iejoaD8/vwcPHnTu3JnP5z98+LBnz55GRkatedbKymr9+vUTJkxgMplfv3599OjR/Pnz6ckyMzN5PF4r3V1iMBjMP5T2itlXV1dXWFhYXFxcW1vb1NQkEAhkZGQUFRW7deumpaVFeI/EYDCtp6GhYevWrXfu3Dl48OCkSZNErKa0EjabvWPHjidPnnTp0sXQ0HDZsmV6enqtfPbJkyenTp3Kzc3t37//8OHDp0+fjn8rYzCY/yztHgIZg8FgMBgM5t9Nx/ya/PjxI/LkgflliA4T8cv4rr8DOj8jOf1ZEe/et5MMvyHoqEpHS/Ej/G4N8cOaJHeEH+gUHUtLrfAL7Kr1BvD7mMo/t7th2kS7TKc4HE5RUVFZWZnQV+IBAHp6ei9evLhx4wbyH4hpV16+fGlhYfHzAep/ks+fPyO3wosXL279Uzdv3iTeym4rlGfv378fEBBw/PhxCwuL1k+qfhPt/QCrVq0aNWrU8uXLR48e7eTktGLFigkTJsyYMePq1ava2tr/OPe5xcXFbm5uHh4eHS3I/8+PaZLcEX6sU3QsIrrkkiVL0KuI7UFtbe2WLVt69+7dmsQ/M26Il39od8P8COJ9UbCxsfHBgwfH/sfJkyejo6Nra2vpKWtra1Ea8QqAEYqdnV1AQEBLn/6Mu4qXL19yOJzWpJw2bVp8fHxzc3NmZmbr80evm7VJpGfPntGf/fLlCxExJjExEcXAaSWitfcraVNLLVy4ELknmDNnDgqugl6JRzFk2hQP6jeBiHjzm/BjmiR3hB/rFB2LiC5ZVFRE8dwhXp49e0ZEi2opAbr4gXFDaD4/zz+3u2HaijhXp3g83q1bt3Jycsh33r9/f+3atYyMDErilrwPY9DCSWNjI3mxGkJIiS3fSthsdnNzM+XMMjmrPXv23L59m/iXy+VSVm4oXn3Jknz9+tXV1VXoVgVd4PT0dGlpaUlJSUNDQ/J9Pp9PyaGpqYlY15STk9PR0RGRLZKW8L4RFxeHXEpSnk1MTCR8E5iampLXTVsK0gJa0F59fT19H4GIftoSSE4ul0sUTXmECLeC4PP5fD6fx+MRgTIoLdXU1ARF7iB4eXlRehmTyVyzZg1RnebmZkrj1tfX83g8elZ8Ph+92U62DVQRQjx606BmRVM68n2Kb30g0sYIARoaGlpyck0xWqHSImEobd3c3Iw8NRBpKLE7IIR08yAaToQmRdSF3BEonYKemCwhvae0pAHKRwCAhoYG4o5AIODz+eQALBSTFggEPB4PQkhogzwcUbokueKamppEL6MbMAL9uhYqKr2ClBYR6mGfoKW+j6BYndBhlp4PQmiXF50zYTYijKShoYHsjRM9SB9JKHd++LsA096Iczr14sULZFh6enpubm5Lly5dtGjRhAkTdHV14+Li4uPjRY/+GAjhzp07+/bte+bMmYkTJ/bu3RsNLuHh4fv27du0aZODg0Ntbe3169dZLNaTJ0+ys7N1dXXd3d3ZbHZRUZG1tTW5m/F4vA0bNoSEhPz555/I5TEA4OHDh8hPoI2NTUVFRVlZWURExJs3by5fvszlchcuXJiQkLB8+fITJ04AAOrq6tavXx8XF/fHH398/vyZLklcXFxBQcG5c+eI/BH+/v7Hjx+/e/cucnwMADhz5kxpaWlwcDBl1+zKlStBQUHXr19fvXo1AIDP5+/YsSMkJGTVqlXIF+XmzZuJMF6U0rOysgYNGrRx48aVK1f26tXr/PnzAoHg5s2bRUVF/v7+X758IZ7Nzs4ODg7Ozs4+evTo3r17FRUVkbu8kpKSzZs3h4eHjx8/HjnAFK29goICLy+vyMhIDw+PdevWIXtOTk7evXt3eHi4lZXV27dvr127xmKxampqsrKyhgwZgrwaHjp0SFtb+/r16x4eHjo6OlFRUdu2bXN2dnZzc0M5nzp16ujRo5MnT/by8kI1VVNTO3PmzNy5c7W0tNLS0sgtBQDYsmVLQkKCr6+viF1IIqQdmf79+6OLkJCQ2bNna2pqoqj1bDbb19f31KlTlpaWFFUEBgZqamru379/3Lhx3bp1CwgIKCoqcnNzmzNnzsyZM1EplBbncDjr1683MTHZsmXL8OHDNTU1UbyEuLi4TZs2RUZGjhkz5saNG62xMQDAxYsXDx8+fO3atdDQUEp16EZLl7a4uHjixIlTpkxZtGiRqamppaVlVVXVy5cvzczMtm3bZmNjs2TJEg6Hs27dutu3bx87dmzChAloa2bv3r1Xr14NCAiYOnUqKo7S1kI1SUZ0R6B0CkrFKRJSeooIDRA8f/7c2Nh43bp1U6ZM0dPTc3d3BwBcv369e/fuZ8+e7dWr140bN+gmHRsbq6WldezYsfXr1xsaGl68ePHPP/+cNWtWnz59GhoayF2S0nZ5eXnTpk3z9PQUasAo/dy5c8PCwuzt7adNm3bx4kWytJQKCm0RgoyMjK5du4aFhVVUVMybN8/Ozq6lvk+3upaGWQQ5n5qaGqFdniA7O3vz5s3Hjh0zMTFJT0+nj0hESoqR5OXlLVmyJDk5edSoUUlJSZWVldOnT58yZcq2bdusrKxmzJjRkr3RewfmN0KMK13Xr18/duzYgwcP6B99+/bt9u3b4eHh6EcPhLC5uRlv9tF5/vy5goJCdXU1hNDQ0PDx48dlZWUjR45E8ckNDAwOHz4MIezTpw+KOr5jx45Zs2ZBCMvKyo4ePUrO6vjx44SPY2NjY7Rd5eHh8fDhQwjh6NGjUcQYLy+vNWvWQAg/fvyItoRevHjRu3dvCGFMTMzEiRMhhLm5uejtAYokKNoXirtOkJiYaGxsjK5v3rypp6fX3NwMIdTR0SE7K0fY2NikpaVBCKOioiCEe/fuRSbx9evXCRMmIBl0dHRQBel6GDVq1JYtWyCEwcHB1tbWEMJ79+6ZmpqizIlnIYRHjhwZP348uu7du3dERASE0MXFBZUeHR3t4+PzXe05OTndvXsXQigQCPr27Xvx4sWqqqp+/fqhrcP9+/ffuXMH6aSqqgpCuHTpUhT3Hk0UkBfs6dOnz5gxA/5v2aOuru7Ro0dr164tLCxE3zqpqakQQllZ2ZiYGAihp6fn5s2byS3F4XB0dXWR2qOjo1s0pv9BbPYh0E9k5FHay8trwYIFEMINGzbcuXOnsLDw7NmznTp1Im+Goh/NaPsjKChITk6utrZ28+bNlpaWAoGgoqJCaItHRkaqqKigKru7u9va2lZXV3ft2hVtBhUVFcnIyGRlZX3Xxt68eTNixAiUuZeXF2Wzj260QqXduHEj2uptamrq37+/r68vhNDa2nrDhg18Pr+ysnLXrl0rVqxAeXp4eKA+ZWZmhvZo5OXlUThCSlsL1SRBazoCcS3UvMkSUnqKCA2QsbS03L17N1KvlJRUbGwsWlN89OhRfX19U1MT3aQhhN27d0fDy7lz53R1ddFuvrm5ORrbiW5FaTsI4ZYtW4gGohvwwYMHly1bBiEMCAiwsLCgiEqpoNAWefHiBbHZZ2xsfO/ePQhhSEgIyk1o3xdqdfRhliwJOR+h+iFwcnL6+PFjYWHh3Llzx40bB4WNSEKN5OrVq2jAOXjwoLu7O4TwwIEDdnZ2fD6/tLRUWlq6oaGBbm9CjQTz+yDO1Sn0RTJkyBD6RyoqKq6urioqKmhGJcZC/2VISUlJS0sjX7qampqFhYVJSUkMBgPFJ9+9e7eDgwMAwN3dHcXCq6+vf/DgQV1dXVBQ0KxZs8hZ3bx5k/h91qVLF3Rx5syZvn373r59u7y8nLKv0atXr6ioqEePHiUmJqKPhg4dmpmZ6ejo2NTU1KtXL6GS0Hnw4IGpqSm6Hj16dG5ublZWVkv1nT9/vq2t7eHDh4cNGwYACAkJcXJyAgCoq6vfv38fkJb3hZYuJSWlpqZG6IqSeUtbA8h5bF1dXWpqKlpccXZ23r17t2jtsdns2NhYMzMzlMPIkSPDw8OfPn1qaGiI/C15e3u7uroKLRHtUhHB6lGG8vLyyNF2REQEqlp2dnZISAiKYkkOLE+pmrS0tJ2dnbGxcUREhLOzc0u6FY22tjYAQE9Pr7q6GgDw6NGjurq6lJQUFRWVCxcukDdDkRrR1sm0adO4XO6HDx9kZGQMDAwYDIaqqqrQFpeWlu7cuTOq8qxZs169epWSkiIvL4/8Ymtqavbt2zc6Ovq7Nnbr1i0TExOUOT2+J91ohUorLS2N7rBYrKlTp7569Qpdo7ZTVlYOCwszNzdHeY4ZMwZFUnv58uXnz5/v3buH3Gq31NYUTRK0qSMINW+yhJSeIkIDZIiK6+rqWltbv3r1SlJSkslk9unTBwUSoJs0AEBKSoqwVSUlJaRSJSUlFPyO6FaUtkMCE0ULNWB06kPouimlgkJbpPUQQgq1OvowKzQToV2e+LS6uvrTp09v3rxJSUkZO3bs8uXLQcsjEsVIZs2atWHDhnv37r1//x61mpSUVJcuXZhMZrdu3Xg8XllZGd3eWjkCYzqKn3UDSEZJSQn52hf6KYPBsLS0zM7ODg8PHz16NPaH3krQ/iklPvncuXO3bduWlpamoaHh5OR08+bNiooKSnCViooK+iGVK1euFBYWbt68+erVq/D/LlzX1dXNmjXr5MmT6urqf/75JwBAVlb25cuXa9asGTx4cEREBF0Socc1GAxGcXExulZUVJSQkBARQmTBggXa2tqenp7x8fF//fVXZWVlSUlJv3790KdkCYXq4Weoqqqqqalhs9nogBGEkGyTdO0xGAxUNfT9pKqqWlpaigQm0sC2b2dDCGtqaoyMjNpUtcuXLx87dszNzc3Pz4+y+/NjIBkGDx4sWgYIoaSkJGVa890Wl5CQ6Nq1K4PBKC0tRdFaAAAqKioyMjLftbGKigoRYwXdaL8rLRKGkpJcBSQYAMDT03Pq1KmTJk2SkpKCELa1rdvUEb5r3pSe0koNkKFXXKhJi8iBUmVK29nY2Ih4FgDg7u7++PHjQ4cOlZWVHT9+XHQFhbbIDyDU6lr/rAj91NbWVlVVTZw4EZ2O4nK5rXfN8ObNm8OHD587dy4/P//FixdC09DtTexjIEa8iHN1Sl1dHUIoevHJwMDAxMTkwYMH/zhXK78edErR3Nw8Ojo6KioKAFBaWnrp0iUAQJcuXcaMGTNr1qwFCxa4u7tv2rQJLeqQMTc3Jw7BNDU1IYVv2rQJvT9MxCSXlZVFu07BwcH19fXa2trERw8ePGhubj537tzGjRvv3LlDl4QSeR4xfvz4xMRE1PNzcnKMjY179uwJWggCf/XqVRcXl9evXz99+rSmpsbGxmb79u1oG+v06dMo6ipRHboeKLoiVwf839Gfcg0h7N69u4aGxqZNmyCEbDabcu6Erj0ZGRlnZ2fi+A56LWvo0KEpKSloIS0/Pz84OFhWVlZaWhr9js/PzxfqK4SiBwsLiyNHjnz58gUA8OzZs4SEBNFVq66ufvDgwapVqyIiIlD83aqqqszMTHpBRA50zaNsiS+AwYMHb9q0CRnJuXPnKisrhaZ/+fKlsbFxjx49yLVoqcUJyRMTE6dNm2ZpaSkvLx8TE4OeLS4uHjVq1HdtbPDgwWFhYajibDabMm7QjbYlaYlPExISiCNrRBUmTJhAzFGysrKmTp366dOnwMBAW1tbFFpOIBDQ21qoJgla0xGI65bMm0hJ6Snf1QBFFTwe7927d6NGjSJnK9SkKY/TLYe4Q2k7oYkBSfMVFRWTJk1au3bt/v376ZsYlArSW4SSvnPnzpReJrTvC7U6oeIREPmI1o+2trasrOyOHTsAAM3NzQcOHCBHBaBkSzGSgwcPGhgYyMjI0FuNMAm6vYkeAzEdjxg3Dmtra8+cOfPmzZvvpvzy5UtISAg+O0Vn06ZNEhISMTExaWlpqqqqbm5u9fX1O3fulJSU7Nmz5/Tp09lsNkoZExNDBIQnx3gnyM/PHzBggIODw9KlS01MTObPn19VVTV79uwePXr4+PjMmjVr4MCBmZmZ0dHR6urqe/fuTUpKUlZWnjhx4qVLl2RkZPbs2XP//n03N7eYmJjNmzejvX+6JMOGDRs1ahTlvWJ/f/9p06aFhoZ6e3tnZ2dDCB88eCAlJbVmzZqioiJyShcXl7Nnz0ZFRa1fvx5CWFRUZG5uLisra2xsnJCQUFlZuWLFChaLhY46UUr/8OFDjx49Jk+eXFpaumTJEklJyeTk5G/fvqmpqS1fvjwtLY14tqysbNSoUd27d09PT09ISGCxWAsWLGhoaEhISFBXV1dVVbW3ty8uLv6u9goLC11cXM6fP3/p0qU///wTpTx+/DiLxdLU1FywYAE6Grhy5crevXtPnz59zpw5zs7ORUVF+/btAwDcvXs3Ly/PwsLC2NgY7esBAI4fP97Y2Dhu3DgpKSkjIyN00iUyMhIAsGvXruLiYmtr6379+uXl5REthQIP379//8yZM2iV8c8//xw8eLBQi4qMjNTV1VVRUQkJCUF30Axs//79JSUljo6OvXv3/vjxY05OTt++fZWUlAYNGhQeHk7JBADg6ekZGBjo4eHx8ePHvLw8Ozs7fX19wnEDvcWfPHmioKDg5+cXEBCwdOnS+vp6CGF8fLyzs/Pt27f37NmDzvB918a4XK6rq6uhoeGCBQvGjBlja2ublZVFCJaamkoxWrq0EMKtW7f26dPn6NGjhw8fRmmSk5PV1NTGjBmTk5MDIeRwOAsXLty4ceP9+/fXr19fV1fX1NTUu3dvS0vLI0eOmJiYTJ48ub6+ntLWQjXZ+o5A6RSUilMkpPQU0RogsLOzGzly5Pnz59euXYuaFb3KsHHjRnRyiG7S8fHxkpKS69evLy8vX7RoEYvFio+PT0tLU1dXnzNnTm5uLtGtKG2XnZ3t6OjYv3//9PR0oQZ848YNeXl5Q0NDc3PzxYsXU3ocpYL0FqmtrV2xYgUAAJ3rCgoK0tLSmjhx4qZNm/T09P7++2+hfV+o1QkdZglJiHzy8vKEdnmChw8fdu7cWUtLy8bGJicnR+iIJNRIzp49q6ysvHjx4l27dnXp0uXGjRujRo3q06fPhw8frl+/DgA4dOgQFDa2CP0uwPwmiDnIDBr0hwwZMmDAANHbeWVlZffv329qakKvMmFEw+FwOBwO8RIyoqmpCS1cEztWdFC4ci6XSxwmQFHuIYQNDQ0oLjoRx76pqUlSUlJSUrK+vl5eXh5CiA73kLcRKZJACJuamuilCwSC2trazp07i66XQCDgcrk8Ho8cob2yslJZWVmo/QjVAz2NpKSk6Pj2BBDCqqqqliK607UHAKipqVFQUCDnj16BJktVW1urpKTUpgj2NTU1MjIyotMTLQUhrK2tlZOTQ6eyIIRsNltOTq6VZbXEt2/flJWV6aH3GAxGQUGBvLx8S4oCtBaPi4tbuHBhZmYmh8NRVFQkp0RaJZ76ro0BAFBlBQIB/TwcxWjRBg1F2m3btn358uXo0aMsFkvEy/YouiihRghhY2OjvLw8h8NhMBjoQXpbi6aVHaGlipPzofcUQmyKBoiP7O3t3d3dR48e3VKHQtBNujUIbTsRBAQEDB48mMVi1dXVlZWVZWVlrVq1SnQFKS1CobGxUVpaWiAQSElJodqJ6Ptkq/sulHxE6EcgEFRVVbVSA2Tq6+tRTdGA3FIyur21ZgzEdAjij9lXW1ubkpJSXV3t6OhIP6NA5tu3b/fv31+4cKF4BcBgMGJEIBBISEjk5ubq6uq2/qnY2Nj58+fn5+e3m1zCESqtr69vQUFBYGDgLxamw7G1tV24cOG8efM6WhDQ2NjYq1evZ8+e6enpcTicpKQkKSmp7x63wmD+QYg/yIySkpKLi8uUKVO++4NMVVV1+vTpYhcAg8GIkcuXL+vo6AQHB6NXd1tDQ0NDWFgYk8m8f/++2H+wiYYubX5+/ps3bz5//vz8+fNfKUmHk5KSUlNTEx8fj/x0dCxycnJbt251d3d3cHBwd3fv1KkTnkth/mWIf3UKg8FgMBgM5j9Fu4RAxmAwGAwGg/nvgKdTvzWtd2TyiyG/ey/0PXyy5MS10JQ/yY953PgZxQqtRUsR09pDALHk/DMC/PCzYin0u1bU+lJ+Wf/6sYK++5TQBKKfEm+VO3CA+g3Hxt9QJMyvBE+nflNKSkqmTp3q4eHR0YIIZ/Xq1ch75OnTp9XV1SkRtcrLyxUVFSsqKmpra7du3aqpqUl5Six8+fJl165da9asGT9+fFufNTU1JftCbBOUWhw/fvz27dsbNmwYO3Zsax6/c+eOrq5uYmLij5UugsDAQB0dnZa8AhI8fPiwZ8+ePyzAvXv3CHfVrefVq1fm5uYiIgyKgM/n79+/H7nYBt+zIsL2ROeZm5s7c+bMiRMn/oA8bSIxMdHIyOjevXtif4reEBRF0WmlclrDzzToT/JjKm1XuFzuxo0bBw4c2NGCYDqUX++bASOahIQEdOHt7U2JUPb7UFJSUlpaCiEsLy8HAKDQZmRQ+C0I4atXr6SlpSlPoQQooNsPM3fu3PDwcIFAkJ6e3tZnP3z40FavLUScNXItQkNDURw9CGFcXFwrs+rSpcuTJ0/aVHorUVBQSE5O/m6ybt26/bAAbDYbuVBqJYTeLCwsUOjDHwA5KUXXZP0LhbA9cul0Dh065OLi8mPytAkjIyPC6ZcYnxLaEGRFCYWsnB9DLA36k7RSpT8/yLSeiIgIIkIo5r8JXp36vXj69CmK/QQAQLELwP9iDJOT0aPHkKmrq6Pc4XK5lN0o+p3GxkaKC29KCDDyv2pqaiiaECEkl8slPz5gwAC09E1280M8VVJSMnHiRHqIMdFQav369WtpaWkGgzFgwAB6YkrmEMKGhgbiXwMDA7IXGUrdkWbYbDbh4v/gwYNXr16l1AIA8PjxY8IbyKBBg8ghAZBjQKEVEer6iF4ooqGhQahr9dbkjL5LyHfq6uoEAgHRaghKsDkAAI/HI6uLjIyMDNkHARKbbnIIst6IQmtra1tZFlELssBk/QMA+Hw+xS8/YXvk0hFkOUU4oALCalRbW0tvUNE9EYGEhxC2yeCFPiUQCHg8XlNTE6A1BKApCohUDmi57ej2QCCWBhWqSYoYaBOfIjxBSyolF93WQUboACh6WKCLhBJ8t8OirBobGwk9UKrP4/HIMWRQu/P5/LaOmZhfCZ5O/UZACG/cuFFSUuLv749Wfaqrq9evX+/k5GRqaoq6aGRk5J49e3bu3GlhYfH161dKDlFRUZs3b05ISLC2ts7LywMACASCXbt2BQUF+fr6orUu+h0Oh+Pn53fy5ElbW1sUayUjI2PHjh3R0dEowm5DQ8O6desSEhIWLFiQkpKSl5c3ffr02bNnE+WePn3ayclJVVUVBWa+cuWKjo4OJewJ+amEhITc3NyAgIBXr14tWbJETk7u9evXAIDU1FQXFxf6kHHmzJlDhw6FhYU5OjrGxcWhO0VFRXfv3j1//jwlMUV4AMC1a9eOHz8eFBRka2tbUlKSkpJiYWFx7tw5AACl7hDCPXv26OrqXrp0aerUqd27dy8tLS0vL3/w4MG7d+/OnTtHrkVcXFxCQkJCQsLRo0fXrVvXqVOnjx8/AgDKysp8fHzCw8Pd3NzosckI6uvrR4wYceLEiaKiInqhAIAvX74sX7780aNHa9euXbhwIYfDuXnzJovFCg8PR07bJ06ciCIP2tnZUV6G//z58+bNm/39/U1MTNC+Xnl5+fLlyx8+fLhlyxZiEpCZmTlv3rwHDx4MHDhw3rx5KKLFuXPnDh8+PHv27JkzZ1IiYNTV1fn6+hoYGAAAPnz4YG5uvmbNmrVr1/br12/btm2UCpL1hu6kp6cvXbq0f//+xG8GEWUBAF69erV69eqHDx8SAaoptoe2Wc+fP9+vXz8vL6+0tDTC9iilHzx48Pz583fv3nV2dhZ9xoXeiRobG+fMmRMaGuri4jJ+/PgjR46A7/VEComJiSNGjNDU1ETb99euXZORkUF9rayszN7eXqiDLspTQUFBOjo6p06dMjIyOnjwINEQQhUlWjmVlZWzZ88eO3bsrl27hg0bhgJPgRbsgeDnG1SoJilN8/z584EDB3p5ebm5uRkYGEyaNEno9IWiHHrRxCDz5s2bJUuWqKurFxQUJCQkKCoqbtu2TSAQfPr0ycrKCsUepQyArRkW6CJBCA8fPjxt2jRNTc3s7OyysjJHR0ekmcuXL7NYrOzs7Orqak9PT3t7+5MnT86ZM6d3795xcXGbN2+2srJasmQJAKC5uXnhwoUxMTE+Pj6+vr4AgIiICHV19RMnTixatEhbWxsFmcH8jrTr2ldpaSk5IoRQamtrv379ijzoY8LCwgwMDNC1j48PGl+4XK6srGxycnJFRYWzs3NhYWFhYeGQIUOIbSaCZcuW3blzB0I4Z86cw4cPQwgPHjx47do1CGFtbe3o0aPr6+vpd7Zs2RIUFFRYWHjr1i0JCYnKyko/P7/9+/dDCKOiogQCQXx8/KhRowQCwbdv3168eAEh9PPzc3V1hRAi7z4oyAwaMr5+/crn8yUkJN6+fQshfPv2LbHZRzyFfop9/foVQlhfX6+iohIdHQ0h/Ouvv6KioiiVevbsGaGT2NhYZWXlqqoqCKG+vj4KIkGBInxKSsrixYvRRx4eHn///TeE0MHBAY2S9LqnpqZKSkqi7Ut7e/uLFy9CCNesWUNkQtQCQjht2rSdO3eiayaTmZmZCSEcO3ZsQUEBhPD58+ceHh50CTU1NWNiYo4ePYpUBCEUWujw4cOvX7+OEtja2vr5+UEI+/Xrh26eO3fO1tYWQsjj8Xx8fFAyFRUVtNnn7OycmZlZWFi4atUqU1NTCOGUKVNiY2MhhE1NTYqKimizb8KECWi/Zs2aNTNmzIAQxsTELF++vLCwMCcnR0pKKiwsjCJ8fHy8iooKuh43btzKlSshhHFxcdra2vSakvVmZWW1Y8cOCOHTp09ZLNZ3y2Kz2YaGhmglIzk5mRisCP0LBILOnTvn5uZCCE1NTc+fPw8hJNseuXQLC4vCwkIIoY6OTmpqKoTwxIkTQjf76J3o6NGj6IdHWFiYpqYmhPC7PZGMsbExih2UnZ0tJSWFfHG5uLigVquoqNi6dWtrnuLxeBISErdv32az2fX19URDCFXUd5Vz+PBhMzOz5ubmpqYmFouFQtnQ7UGMDSpUk0KbxsbGBkXQKi8vV1FRuXLlyneVQy+aPMh8/fpVWloa9crp06f7+vpCCDMyMlDO9EGglcMCmejoaBUVFTQ0OTk57d27F0Lo7e1NqIsYH4KCggwMDPh8PoRw0KBByAyQ2AKBIDc318rKCkKYm5uLwldACBUVFZHZbN++fdasWfR2wfwOtO/qVEVFhWgPcklJSYGBgR8/foyIiPj1DpR/fzQ1NZlMppSUlIaGRnV1dUpKCgAgJSUlJSVl3bp1kydPpqT39/e3sLC4fft2UVERWuMJCQkxNTUFACgqKoaHh8vLy9PvRERENDQ0pKSkMBiMmzdvMhgMV1fXHTt2zJ0719jYmMFgDBky5OPHjzY2Nvn5+ej0K2WjBP1KnjVrFpPJTE1NZTKZQgMyCN1ekZeX9/Ly2r9/PwAgISGBHss5LCwMCQwAcHR0bGpqQnpoCYrwd+/eJY6InjlzxsLCgiwJve5SUlJMJrNLly4AAC0tLbpZit4kamxsfPnyZffu3QEAgwcPPnPmjNBk69ev5/P5/fv3R//SC2Wz2Y8fPybOGo8bNy48PBwA4OnpefHiRQDA169f3717l5OTExoaSjlSXV9f//79+4yMjJSUFGtr661bt3I4nLt37w4aNAgAwGKxiKAWEMKMjAwAgImJCQrT8fDhQwkJiZSUlNTU1KCgoD59+oiovpSUlLq6OpIZhXAWDVJLjx49OBxOU1OT6LKePXsmLS2NREWaoQgAIWQwGO/evQMAoLYGALRke3///Xdpaendu3c5HI7oHRN6J4IQUkr5bk+kgDpI7969HRwcnj59CgDw8fE5depUfX39rVu3yAu9Ip6SkJCQkJDo06ePjIyMvLw8oQehivqucqSkpFRVVSUlJVkslqqqakFBARBmD6JpU4MK1SQQ1jTS0tJoH7NLly6jRo16+fLld5Ujumh1dfWxY8cit/hcLjcwMBBCeOfOHRRZmT4I/MCwAABQUFBAzqt79OghwuetlJSUgoICCuWkoaGBTgsoKSk1NzfX1tai91SioqIeP35MGKqUlJSamhoqGrXUw4cPz5w5c+bMmfj4eNFthPllSH4/yU+A4lXFxMRUVFSwWCwNDQ0zMzNij7msrOzly5d9+vRBP7IfPnwoLy9PHjcxFGpqang83pQpU9C/9G+F69evZ2Zm7ty5Ey3bAACqqqry8/P79u2LEkAI6XdqamoMDAzs7OyIbPv37//69evly5cPHDgwKSlJT0/v5cuXW7Zssba2vnnzZktv0klISCgrK4t4saglvLy8Dh48+OTJk65duwoNGFdcXEz8q6ys3FKAQgRFeMq4hr5miH/pdW+r8BRqamrKysqIgFyU4ggWLlyI9DlkyBCh+aDYc8XFxehrg6j17NmzN27ciA4Uz549OyAgoLm5GU1GCWpra6uqqsaMGYMeEQgEhYWFAoGgpqaGEqvgwIEDc+bMOX/+fHp6+s6dO5H83bt3F2FjYkR0WeXl5aJPJjGZzCtXruzfv7+0tFRJSamlSQlixYoVLi4urq6uKMKuiJT0TrRw4cKoqKg9e/Y0Njaiuex3e2JLdO3aFX0v2tvb9+3b99y5c+Xl5b169WrlU0IRqqg2KYeAbg9t4rvGQ9ck+F7TSEhIiB5SkHI+fPhAKZqy1ejp6enh4WFlZTVnzpycnJywsDAAAIp5Sh8ExD4stBIIYX19/YwZM44ePWpkZCTCUPl8PtoDpe+oYjqK9l2d+vbtW2lp6bt370pLSwsKCv7+++9bt24Rx/QKCwvB/35OMRgMc3PzpKSkdpXn90dOTo58+pI45IEuzM3NExMT0YGG2tpaf39/yuM+Pj729vYMBgOdOAYA2Nrabt26FU0prly58vXrV/odCwuLjRs3opOPwcHBnz59CgwM7N27d2RkpJ2dXXR0dEREBJfLPXHixKFDh27cuAEAENrPKyoqunXrhpaChCYgbkpLSzOZTKKmysrKy5cv/+OPP/744w/6U+PHj09JSUFvd1dVVcnIyKAVJrS+Sk9PEd7Ozu78+fPoN3dKSgo6ekU8SK87OStiqCK3C7lQigAQQg0NDV1d3XXr1gkEgubm5iNHjggV0sjI6Pjx466urvRjN6hQGRkZFxcXwptDZmbmtGnTAACdOnWaOnXqlClT3N3d3d3dT58+Tf8y1tDQUFFR2bx5MwCAz+cfOHCgW7du2tra6LV2gUDA4XDQUd/Pnz/v2bPH3d39xIkTenp6AIAhQ4acOHEiJycHAPDu3TvK6Rl6lSmKoiDUngmrFl2WmZlZQUHBs2fPAACogZDMZAE+fPgQHBy8YMGCY8eOkVetKKXn5uaeOXPGyclJIBDQv2gp0DtRZWXlqFGjfHx8du3aNWLECNBCT3z+/Dk68iiCz58/E0tZ27Zt27Nnj5GRkehHKE8RtSMuWlKUaOWQIRRCtwcKP9OgQJgmW2oa4uLZs2eiF/+QcuhFUwYZZ2dnBoNx+PDhcePGLVq0aOHChW5ubugj+iDQymGBAmW4BgAoKysjkygoKEADAv0pSovcvn27oqJCX18fvYFE+ZQoety4ccuXL1++fLmjo6MI5WB+Ke20iYi4du3asWPH7ty58+bNm9zcXPSb4OnTp+jTJ0+eHDt2jPzi7rlz59BW93+WmpoaNTW1xYsXJyQk2NnZ9erV6/3799HR0Uwm09PTk8vlHjhwQEpKSl9ff9y4cWifnsz8+fO1tbXXr1+/dOnSnj17pqSklJSUDB06lMViGRkZPXjwAEJIv5Ofn29sbCwvL29iYoLO5WzYsMHb2zs+Pt7Ly6ukpOTBgweTJ09+/Pjxzp074+Pjc3NzR44c2bt375cvX3K5XAcHhxUrVgQFBW3evPnTp08CgSAkJAQAsHnz5pKSkjVr1gAArl69Sn4KQjhy5Mhhw4Y9fvwYSV5aWurk5NSSWs6ePTtp0qS//vpr06ZN6HRFeHg4i8Xy9PTMy8ujJKYIz+fz58+fLykpqauri845vXjxonv37uPHjy8sLKTXfcuWLQCAsLCwDx8+6OnpOTo6lpeXx8XFdevWbceOHenp6UQtMjMz9fX17ezsvnz5gmYqmzZt4vF4SUlJWlpanTt3Hjp06MePHyniPXr0SEJCwtvbu7y83MzMrFevXpGRkUILLSoqGjlypL+///Xr17dv344OW0AInz9/ThzIGDlyJDHsBgUFAQBWrVpVW1sbHR3dpUsXdXX1IUOGvH79GkIYGxurpqbm6uq6Zs2a7t27r1+/vrGxceXKlUpKSv369UMHgOrq6rhc7uTJkyUlJfv27YsmhWThq6urN27cyGQy7969m52draenN3r06JKSEjR1Q0eOyBB6Qxfjxo0rKyvbvn07AODatWuiy4IQHj58uFu3brNnz16xYkW3bt0CAgIoVmRiYqKurj5gwAB7e/sTJ06Qba+hoYEovayszNDQ0NzcfP/+/fb29s7Ozi9evBg+fLimpmZKSsp3O9Ht27fl5eUNDAzMzMxmz5794cMHCCG9J+rr66OFdgrr1q0bP3789evX9+7dGxkZSf5oyJAhDQ0N9EeEPnXlyhUAwMqVKysqKsgNIVRRopVTXFw8duzYHj16ZGRkREdHI7Ph8Xh0exBvg9I1yeFwKE1TUlIybNiwYcOGnT17dvPmzVevXm2NcoQWTRlkDhw4cOPGDQghWrslcqMPAq0cFogcmpqali1bxmAwIiMjMzMzDQwMrK2tv379+unTJ11dXScnp3379mlra+/cubOysnLmzJmqqqovX75MS0vT1tZ2cnL68uXLsWPHAACXLl1KS0tTVlYeO3bs5cuXO3XqtHz58sePH6OxpbS0dMyYMWpqau/evRNqM5iOpR2nU1wu9/Tp0+j0H4FAIAgNDUXXUVFRx44de//+PfFpUFAQGiX/y3A4nObmZtEJ6BMpAnQilXwBIaysrCS+jFu6U1FRQbwQgFaSKysriX9RAhEi/YB/F/IXydOnT2/duiUisUAgIOQRDUV4RF1dnQhHU+S6twRyfNB6RKirTdTW1nK5XMpNoi7oXWuhCAQCij8wQodNTU0QQh6Pt3fv3uLi4szMzBcvXgQHB6MzJajQtvrlaonv6k10WRwOp7a2lsfj0RuopKTkyJEjJSUl6JTYli1b6JNXonSBQIAmB83NzSKURohEvggICEhLS/v48WNqampMTAxxcpzSE7lc7p9//ik0Q/QaB122TZs2iRBD6FMtQVFUa5RDQYQ9UMQWnY+IBhWqSXrTDBs27PTp0/QxioxQ5dCLJg8yHA6HmOHRbYA+CLRmWPgufD4f1Q51utbQ1NSEunx9fb0IDWB+N9rx7FRlZWXPnj3RWUUCBoOB7IPBYKCVTykpKeJTGRkZin/t/yCiTzqjBCLSEKeMiQsAANlPT0t3VFVViWt0gIlIg/4lJ2iTSC0hJycHAIiMjORwOPfv36e7PCDDYDDoMguFIjwCnWRqCRFVI5CXl29N6W3KszWQ25EAnfkAAIg4RsZgMCgnEQkdslgsAEBsbOyDBw88PT01NDQEAkFZWRlxok5ooT/Gd/UmuiwRpnXs2DEOh9O5c2c1NbXGxsa0tDTC/z69dAaDgWxAUlKS4pxJhEiKioqNjY3r169PTk5Gm6pv3rxBe8102RISEubMmSM0QwaDoaKiQvybkZHx9u3b58+fE/4FWvOUaCjCtEY5FETYA5kfbtCWNElvGuRmSXR/F6ocetFokEGQ9UPvOPQOK5YuzGQyUe1Qp2sNRMq2jjmYjqUdp1NycnL0Y8VlZWXfvn1Dh3PRBj/xxQAAQAsz7ScS5jckNjY2Njb24sWLQl/IwrQfNjY2tra2I0eO7NKlS58+fZYtW6avr9/RQrWBxYsX79q1y9LSsk+fPgMHDly6dCn5u1NcyMnJ7d69e+nSpU1NTX379p05c+aYMWOEpqS/lNoSWVlZe/bs2bRpU8+ePcUn6f/hB5TT3vbQSk2mpKRUVlYmJSUNHz6c/m4gBvPbwoDiDklL5tq1a8bGxnp6ekwms66uLicn5+3bt0wm09HRsXfv3teuXausrJw7d26nTp0AADwe78KFCxoaGhMmTGg/kTAYDAaDwWDES/s6SnBwcLh37x56lwrBZDL/+OOP9+/ff/r0qbKyUlJS8t27d0OGDJGQkMjKyuJyua3c0MFgMBgMBoP5TWjf1SkAwNevX+Pi4tDLooqKio6Ojrq6uhDCZ8+epaWlWVtby8jIpKSkqKiooFdJ//jjjx9wXIRBIK/HrfwInZ6jb8j+WP7/dNqjavQ8BQJBmxTersKI/ujf19a/oEYCgQA5DGvXUgja2qbtV9wvy0Hs/MAw+GNwudwfOGCK+QfR7jakoaExffp0T0/PBQsWzJs3D/m6ZTAYNjY2S5cuHThwoKGhoampKXIzaGpqiudSP8bz589NTU1v375N/yghIcHAwODJkyfkm5cuXdLW1s7Ozv75/P/ptEfViouLkUsCyn1PT096bLv2pq228ezZM3Nz8wsXLvwqAQEAoK6uzsPDw8zM7PDhww0NDfv27TMzM/Py8kLe6dLT08eMGePr6ys0fNt3qa2t9fHxMTQ0FLfU/4erV69qaWn9mpdpRLRpezTfz/eRoqKiKVOmeHl5iVGqn6etw+CP8fDhw/Pnz9vY2Ny8ebNdC8J0LL/oh7K0tLSCggLlRxvxr7Gx8fz58+fOnWtjY/Nr5Pn3YWFhISUlJXSt0c7Ojh7zdf78+cgx5s/n/4t58eLFj32ntkR7VE1TU1NPT48u5/bt21euXCnGglpDW23D2tpaWVm5NQppq99dEekVFRV37tz57t07NTU1eXl5b29vFHMNvRpsbGyspKS0ZcuW776UJxQlJaWxY8fW1tb+wLPfpaqqCkX7njRpUklJSXsUQUdEm7a++cRSXCvR0tLq2bNna3rur3Tm3NZhkEJrRBUIBEuXLl20aFF4eHhLLjdRpEXMP52O2XdANDY2EkO5nJwcOpCOQe82NjU1oX+5XC5yzkvA5XI5HA75DpvNbm5upnzTkL88iNePiawYDAYlvYiAHkLzp6dHfo1F1Q0AJHlDQwP6F0VgJSdArlaIf9Hrn+ibFfxv1Yc8KFOUQwAhpLhvRv6oKMUJrZpQUZFsFFEp/pGbmpoI2Yg8yQ2hqalJvMuNqkZ30i2iISi2ASGkTBHEYhuA5q1DqEhPnjzZsGFDKyUXmp5Ct27dJk6ciJxVMpnMBQsWBAUFoSpXV1fr6+ujF8jptSZobm5ubm4m7IdsS5Qa0TOhGAygmZbQcrlc7owZM1AEN0LJXC6XYmYtaQY1FpfLJcyGMHURhdLblJKMUtn26yOA1ikArQujnBsaGig50JMBYUYiNBkBXTkUBdLvkEfU7w6DlB5H7vIUUVsyy7KysvLycgaD0VKkoF27dtHdx4uQQYT9YzqWjpxOffz4EUVzxCDYbPbmzZvNzc337t3buXPn8vLyU6dOHT16dOLEievWrQMAcDicBQsWJCYmLl269Ny5cwAAHo/n7e19+/btgwcPEpEQHjx4sGvXridPntjZ2VVXV6ObERERw4cPV1NT27dvH6Xc7OzsLVu2HD16dODAge/fvyd/JDT/2NjYTZs2RUZGjh49+u7du+hmQEDA6dOnz5w5M3bs2JqammXLlllZWQEAYmJilJSUEhISPn36ZGVltXLlSj8/P2tr67Vr1wYGBi5evFhXVxcVymazt27deurUKQsLi5CQkMrKyunTp0+dOtXX19fS0nL+/PkAgCdPnnz58uXMmTPZ2dmvX7/et29fREQEEaiLYNeuXdevX7948SIKVRYeHq6mpnbu3LnZs2draWmh4oRWDVFdXb1w4cJRo0YdOXJkypQpQ4cOffz48apVqwwNDdGXfU5OztKlS5OTk0eOHInis/L5fD8/v5CQEC8vr02bNqF8ysvL16xZY2VlhV5WzcvLmzp16rJlyyCEO3bs6Nev36lTp8aPH9+nTx/0bSqiIei2ER4evm/fPm9vbycnp4aGhl9sGwKB4MaNG4WFhf7+/g0NDZRk6enpBgYG06dPLyoqsrCwePHiBSU9aIFZs2ZFR0ejaMpFRUU1NTUotlpwcDAKCUKpNfHgy5cvTU1N/fz8hg4dumrVKootUUqhZ0IxmLq6ug0bNsTFxU2bNg2NUS2V+/bt29evX4eGhhIbpiiksYaGBlq6ENGmf/75Z48ePa5du+bu7t6jR4/Hjx9v3brV3t5+wYIFKMHx48dPnDhx584dJycnFDlYaJu2JBsAoP36CACguLh48+bN4eHh48aNQ/uA+fn5Xl5ekZGRixYtQo7yAQDnz58/evTo1atXIyIi0J2WWodiJEJzI6Bb8rNnz3bv3h0eHm5tbZ2VlSX0DmVEJUNpqaKioqlTp86bN8/NzW3w4MGULk8RtaUmKC0tPX36NIfD8ff3T0hIuHbtGovFamhoeP/+vamp6a5du8rKyiIiIlJTU69du5aRkdG1a9eIiIjy8vJZs2YNHz78u70eYH4r2tVJaHTLREREnDlzJioqql0F+McRGRmpqKhYWVlZUVHx6NGjdevWFRYWoi/s9+/fZ2VlOTs7QwiTk5MHDBgAITx27NiBAwfQs3369EEhFBYtWoSit7q4uKAYFAYGBidPnoQQJiYmMhiMrKwsCKGcnFxmZiaE0MnJ6ePHj4WFhX/88cfUqVPJ8tDzr6qq6tKlC/JHnJubKysrm5ub+/TpU/SgQCBA30D37t0zNTVFD+rr6z958gRCOHv27NWrV0MI09PTAQCFhYUQQk9Pz+3b10g2UAABAABJREFUt0MIN2zYcPfu3cLCwuPHj3ft2hVCeODAAbQblZ+fLycnx+Fw0DsNyPHxli1bUKViYmIoahw4cGBFRYVAIJCRkUF+wGVlZVGyefPm7dq1qyXVEVy6dMnU1BT5UFZRUUGRLoKDg+3t7SGEly9f3rx5M4Rw7969K1asgBDu2bPH398fQlhYWDh58mQIobe394QJEyCEaAMIOSjfuHHjggULIITPnz9XUFCorq6GEOrq6qLISyIagmIbZWVlo0aNKiwsLCws1NXVPXXqlHhtY/To0adPnxYtUkhIiIWFBbqmJ0tISFBTUztw4AAKcUNJ3xJcLldVVXX37t21tbWrVq2aMGHC6NGjIYQeHh4QQnqtyc9aWlpu3ryZx+NVVVXRbenFixfdunVrKROKwcTExEyZMgVC+PHjx/z8fNHlGhkZIZWiNQ9UXw8Pj6VLl4pW4OfPnwEAyPH6pEmTkGGUlpZKSEjweLyEhAQTExOU8vLly4aGhgKBgN6mQmUjmq9d+8jw4cMzMjIghA8fPvTz84MQDhs27N69exBCPp+vr69/8+bN169fE+FcFi9ejIIj0VuHgGwk9NzIKSmWXFVV1b9/f+QjeufOnQ8ePKDfoY+oUOQwuHHjRhsbG4FAUFFRQe/yhKiizePjx4/S0tLoGkVKRU7SFyxYgJzCL1261NvbGyUwNjYOCwuDEF69etXOzg5+r9dDzO9E+zpKoPwao/P58+cOfNfpN0RaWrpr167IW0RERISUlFRKSgoAICQkpFOnTpqamo8ePYqIiHj37h3aVgsODvbz80PPEj58z58/n5ube/v27W/fvhG7bwYGBgAAGxub3r17//3334R/vOrq6k+fPr158wYAMHny5M6dO5Ploef/999/KygoIH/Eurq6urq6T548ycjIGDZsGACAwWAEBwcDAF69ekWvnZSUFNrq0tDQAP+Lfq2kpIQmSY8ePerbt29KSoqGhsapU6eam5ulpKS6dOnCZDI1NTUbGxuRZw0it8mTJzs6Or59+5a+pvL69euUlJTi4mIIYWNjo7KyspSUFHrLQVNTE603CFUdWVTitJ+6ujohKjppMXfu3Jqamrt372ZmZiK3/rdv375+/ToAQFtbmzixq6WlBQBQU1OTlpaurq7u0qULsQsjJSUlLS2NNrg1NTULCwvpDVFSUkLsAnh4eJBtA4VGRrZx8ODB3r179+nT5xfbBoHQZLa2tuPHj4+JiVm/fr3Qp4QiJSU1bdq0S5cude3a1dXVtbKy0tXVNTExEYXjRes95FqTn5WWljY0NJSQkOjcuTPdlohkQjOhGMzQoUOXLFni5OR0+vRpHR0durZFVEFbWxsAoKur+/btW9EKRJZD9AjkO1tJSYnP51dXV4eHhw8aNAilHD169Lx58/Ly8uhtKlon7ddH6urq3r59269fPwDAqFGjRo0axWaznzx5EhAQAABgMpkjRowIDw9PT083MTFBj3Tp0gV1H6E9nSKe0NyIoMWAZslPnz41MjJCXyUovt6DBw8od1atWkUZUYnchLaUtLS0gYEBg8FQVVWld3kC0U3wk4ju9WIsCPPztO90CgDQo0cPujt/gUDw9etXHR0dRUXFpqam9vBl/C+gpqbGyMiIWKVns9l1dXWzZs06depU165dT58+DQCoqKigH8sIDAwsKiry8fFBkVApn3bt2pUce6S2traqqmrixIlopoLCWhETXHr+DAajrKyMSKOioiIrK1tZWVlaWkqkoRcqGpQe1Xfw4MFEfUU/NXDgwOfPny9YsMDc3Pz58+dkj2Wenp7Tpk1zdXWVkJBoSRihqmulqG/evDl8+PC5c+c+f/6MjiEjDRDvjrVVA0BYQ6CQYUITI8k71ja+m0xZWfnu3buxsbFoqt1KZs2adfr06QsXLqSkpPD5fFVV1T/++CMxMVForVvKRIQtCc2EYjCysrIvX75cvXq1ubl5dHR068ttpWa++yCEkMFgEAfbkW3LysrS21S0bO3XR6qqqqqqqpqamlBYCyQwAKCkpERHRwcAoKKiwufzKyoq6FMleuvQ0wjNjZyAYsn0IYh+hz6iEp8KbSlycfQuT64O+CHzaCu/rCDMj9G+y0J9+/adMGGCC42RI0fOmDHj27dv/fr1w3MpCsTQZmFhcfTo0aKiIgBAXFxcSkpKcHBwfX29lpZWXV0d6u1mZmZBQUEoPQqcCQDw8fGxs7MDABDJCJqbm9lstr29PXFHW1tbVlZ29+7dAAAul3vo0CHycE/P39LSUlZWFrlmRcOlk5OTra3t6dOn0emK8PDw9+/fd+7cGb0xzmazy8vLhcYOogzigwcP9vHxQSlPnTqFlsTRR0Qt0NiNTr9ev369d+/e8fHx3bt3f/78OZHPp0+frly5Ymtry+FwuFwuepaelVDVfbdREAcPHjQwMJCRkamtrUUZ2tjYbN26FZ1UPXnyJDo3SpRFXBD5kDNEn9IbQktLa/n/QN8uxFPoax6Fmi8uLr5y5cqvtw05OTnUEEKTXb582dXV9ciRI4sWLULLYER61EZoSZKOlZWVnp7e8OHD0THhmTNnqquro2gn9Fq31Ex0WyLS0DOhG0x4eDifz79w4cLatWvv3bsnulxyvYjWRN/9ohXYkvCIcePGJSQkIMk/fPgwdOhQdXV1epuKlq39+kj37t3V1NTQqk9jY+PJkydlZGScnJzQWTcAQFZW1pQpU8zNzUNDQ9EpHyIHEa1DKFNobuSqUSx56NChT58+RelzcnLu3r1Lv0MfUYncWmopQif0Lk+IKroJ0DYQupaVlZWWlkZLdAUFBUgDZPvp3Lkz+jQ/P58YM0X0eoD5rWjXrcTc3FwRnz5//jw0NLRdBfhnUV9f7+npyWQyQ0JCIIRNTU1jx46Vlpbu168filT/6tUrZWXlSZMmXbp0SUZG5vDhw3l5ef369XN0dFy2bFm/fv0WL15cU1Mzc+ZMPT29LVu2/PHHH+bm5jk5OcuXL582bVpQUJCfn19qaiqEMDAwEADg6+vLZrPDw8M7d+6spaVlb2+fn59PFklo/nFxcc7Oznfu3Nm1a1d0dDSEkMfjzZgxQ1JSsmfPnufOnYMQNjc3Dx482NLScs2aNUOGDFm9enVmZma/fv1GjBjx9evX48ePAwCOHz/+5cuXoUOHWlpafvnyJScnx9DQsFOnTqamplFRUZWVlSNHjjQ0NMzOzkZr/ugUiL29/ZgxY5KTk9etW7d58+a4uLgVK1aQo9yz2exevXoNHTr0xIkTRkZGf/zxBxpSd+/eXVxcbGFhMXDgwMLCQqFVQzlUVla6ublpaWmlp6cnJyfLysrOnTu3pKRk8eLFSkpKr169OnPmjLKysoeHh5+fn5qaWlRUVFFRkbm5uaysrImJSXJyclFRkbW1df/+/XNycq5evQoAOHDgQG5urpOTk4mJydu3bzdu3CghIfHkyZPXr1936tRp9uzZjY2NIhqCYhsQQj8/P0lJyV69es2ZM4fD4YjRNpKTk9XV1cePH19cXCxCpPLycjU1NS8vr/z8fEqyR48eOTg4NDU1VVRUdO3adfz48ej9JiL9iBEjNm3a1FJH2LJlCzrCBSFMT0/fu3cv8RGl1sT95OTkrl27jhs3Do05FFuqra1dsWIFg8F48OABPRO6wYSEhLi5ucXGxvr4+Lx9+1ZEuRDCrVu39u/fPygoCH29HTx4sKioyMbGxsjI6PPnzy0pUCAQoA24+/fv5+bmDho0yMzMLCcnB5n6xYsXIYTHjx//448/QkNDvb29Ub2EtilFNnLztV8fgRDGx8erqampqqoOGzasrKwMQlhQUODi4nLhwoULFy4cO3YMQsjlcidOnGhkZLRgwYKRI0c6Ojp++vSJ0jotGRU9NzJ0Sz5+/DiLxdLS0vLw8EBHpih36COqiGEwLy/P2tq6V69eKSkpEEJ6lyeL2pJ51NbWoinajRs3kP69vLz69OkzY8aM2bNnjxw5srS0NDIyUkNDY9++fWw2OygoSFtbe9KkST4+Pr1793769KnoXt9SD8J0CO07nRJNdnb2sWPHGhoaOlCG35/q6mpyt0EvLUMI0eINAh0Mb2pqIu6g860CgYAYQ/l8PjpwKhS0ztTSp/T8iZtkamtrKT0cDb6UB0VTUVGBhsKWQO4YkMzo3LHQNKjibDaby+WKyE1o1VoDoX+kaiI3dHr9hxHdEBTYbDa59F9vG2w2m2is1khOpEdOUlpKhtq3pX8ptRaBCFuiZEIxGPQUpToiyiXPVOi0qU3pz9ItnN6mLcnW3n1EIBDQx4Hq6moej0e+U1NTg/wvkG+21DpkoxKaGwHdkjkcDkUP9DuUEZWM6Jaid3myqK03S/qoSLafhoYGHo8nYqrU+oIwv5h2DzIjYlUsIiLi06dP06ZNU1dX7xAZMBgMBoPBYH6e9j2KHhUVJfQ+hLC8vLyyshKdV21XGTAYDAaDwWDalfadTiHPaSKwtrZGno4xGAwGg8Fg/qG073SKyWQKdZQAAFBUVNTV1RXqdB/zw/zigO0CgYDBYFBCMf7Ms//ioOtCm+ZnFIjBYDCY34f2nU4NGjTI2tq6XYvAIJqamg4ePHj27FkUoOPXsGTJkq5du+7atesnn4UQHj16VFdXNywsTFpa+syZM+KWtIP58uWLoaFhaWmpvLw8+f7PKBCDwWAwvw/texS9vr4eufptiW/fvtEdUmN+jPT09KFDh/7KQE7FxcUsFqtNLZicnDx06FDKsyEhIRkZGX5+fgKBICkpycbGpvX5tLXcjiIjI6N///4UYX5AgRgMBoP5DWlfN56i51IAgKdPn7arAP8+uFwuERsE0dzc3NzczOfzW7NNRn8cxbSnh4VHoLd5yXfIKTU1NZWUlFrKnB6gfs+ePUQAFvKzjx8/7tq1KwCAyWT269ePXCI9PjwlH9CKEOuU9ASUUO105SCnDOQ79DTgf2HXiH/pFQcAGBkZIe9/LSlBaOaodYQqAYPBYDC/Dx0WLK+uru7Ro0f5+fkdJcBvSHZ2trKysp+fX3V19ciRIy0tLYuLi9ls9qhRo9LT0zkczrp1627fvn3s2LEJEyZ8+/bt5cuXZmZm27Zts7GxWbJkCZFPWlrakCFDHj58SPZiTH88Kytr0KBBGzduXLlyZa9evc6fP0+RZ8uWLQkJCb6+vteuXQMAlJSUoADy48ePDwoKysvLmzZtmqenJ0qMQrVPnjzZy8sL/C9A/ZkzZ+bOnaulpZWWloZip7958+by5cvkZ2NjY5OSkmJiYo4ePbp48WIVFRU0pUhOTkbR4K2srN6+fUtIRc4HFbRv375NmzY5ODjU1tamp6cbGhpOmzattLR06NChycnJlPSIoqIiNze3OXPmzJw509jYmC4/ACAwMPDUqVPnzp0bOXJkfX09XYEAgLq6urlz54aFhdnb20+bNu3ixYv0igMALl++rK2tXVBQ0JIS6JlXVlZOnz59ypQp27Zts7KymjFjhniMDIPBYDDtwa93dYX8wJ44ceLYsWN0X7f/cRYvXrxq1SoIYUJCgo6ODvIJifxH79q1C0UyhxB6eHjMmjULQmhtbb1hwwbkhjEzM1NOTq6kpGTPnj1056hCHx81atSWLVsghMHBwdbW1uT0HA5HV1cXea5Drs9dXFzS0tLQvz4+PhDCLVu2zJkzB0L46NGjtWvXFhYWotkDcq5NBKj39PREwdi9vLzWrFmD8ieehRCOHz/+yJEjEMLi4mIAAJvNrqqq6tevH3KRt3///jt37pBlI/IpKysbOXIkCrFuYGBw+PBhCOGzZ8+6det26NChv//+m5KezObNmy0tLVG4eLr8z549mzx5Mko5ffr0T58+CVXgwYMHly1bBiEMCAhA4eWFVhwtgyHH1kKVIDTzAwcO2NnZ8fn80tJSaWlp7PAWg8Fgflt+3eoUhDAnJ+fOnTs3b97MysqixAvDIDw8PK5fv97c3Jybm8vn8588efL8+XMrKysAQFhYmLm5OUo2ZsyYhw8fAgBYLJahoSHhvksgEDg7O0+ZMoUeCVHo41JSUujlSk1NzcLCQnJ6aWlpOzs7Y2PjiIgIZ2fnurq61NRUtJDj7OyMIicQTi4iIiIYDEZKSkp2dnZISAjauSMC1GtpaVEyJz9LhnjH7enTp6heAABvb29XV1eh6kpKSkLlpqSk7N6928HBAQBgZWU1efLk0NBQCwsLEaqWkZEhwsXT5b9z546joyNKGRQU1LNnT6EKBABkZGQAAJBmEPSKS0pKCg3WRiihpdbp0qULk8ns1q0bj8crKysTUR0MBoPBdCDt+2Yfgsvlvnv3Li0tjXzApVOnTqqqqnl5eb9AgH8Qpqam2tra4eHhGRkZmzZtunTpkr6+/rZt2wAADAYDLd4AAFRUVFAwYApMJtPd3X3y5MkpKSmUGVVrHqdw+fLlY8eOubm5+fn5TZ48uaamhs1mI7cX8H8B5BEiQrX/GJWVlSUlJcS/lOLI5QJhIdYVFRXfvXv38OHD0aNHt6Y4uvyVlZVkBx9IALoC3d3dHz9+fOjQobKyMhSI8Mf4gdbBYDAYzO9D+65O1dTUJCQkXLp0KTExEc2lGAxGz549XV1d586dO3bs2L59+7arAP9EFi9e7OXlNWbMmJkzZ0ZERCgoKCB/RRMmTPjrr79QmqysrKlTp6Jr+H+Pint5efXq1WvRokWUbFt6HEFfLKyurn7w4MGqVasiIiKuXLnSvXt3DQ0NtO3IZrNPnDhBLtrCwuLIkSPIR8OzZ88SEhKEZi4rK0ucZCeLTVyjCwjh0KFDU1JS7t+/DwDIz88PDg4mZ0jkg0KsI+f7paWlly5dAgAEBgZOmDDh+PHjHh4e6BA3uVwyIuS3tbU9d+5cdnY2ACAqKiotLU2oAisqKiZNmrR27dr9+/cPGTKEkr/QJVihShDdOmglGV2/evUKnU/HYDAYzG9EO20ifvnyJSws7BiJwMDA06dPo+MjBIWFhe0kwD+XmpoaJycndD1v3ryCggJ0zeFwFi5cuHHjxvv3769fv76uri45OVlNTW3MmDE5OTlsNnvHjh0MBuPBgwfv379nMBizZs3Ky8sjsqU//uHDhx49ekyePLm0tHTJkiWSkpLJyclE+qqqKnNz8/v37585c+bq1asQwoSEBHV1dVVVVXt7++Li4uzsbEdHx/79+6enpzc1NY0bN05KSsrIyGj37t0QwsjISADArl27iouLra2t+/Xrl5eXFx0dra6uvnfv3vT0dOLZd+/e6ejojBgxorS09ODBgwCAs2fPwv9Fg9fU1FywYAElBiqRT2Nj486dOyUlJXv27Dl9+nQ2m/3o0SNbW1s2m/3t2zd1dfVRo0Z9/fqVnB7lkJeXZ2dnp6+vn5SUBCGky8/j8WbOnCkpKamvr+/v7y9UgRDCGzduyMvLGxoampubL168uLi4mF7x3NxcNM/bs2cPh8MRqgR65pWVlaNGjerTp8+HDx+uX78OADh06BCfz1dUVHz48GE72R4Gg8Fgfgwx+53i8/nZ2dlv3rwpLy8nburp6RkbG+vo6Fy9etXZ2VlTU1OMJf4raWpqQts9xOYa+SOBQEA/GtX6nFv/OISwtrZWTk5OSkqKuFNVVaWioiI0fU1NjYyMjOioQQ0NDRRXliJobm5ms9lkVwJC8+FwOBwOR2iyNpVLl7+uro7FYpE9UFAUGBAQMHjwYBaLVVdXV1ZWlpWVtWrVqu/WqyVhWtM63/XlhsFgMJhfjzinUy9evEhLSyMc57BYrH79+hkbGxPfc1euXMHTKcy/hsbGxl69ej179kxPT4/D4SQlJUlJSbXGBykGg8Fg/mWI8yi6pKSkpKQkAIDBYFhbWxsbG6N/MZh/JXJyclu3bnV3d+fxeDo6OqtWrTI1Ne1ooTAYDAbTAYh5sw9CmJeXl5aWVlRU1Lt3bxMTE3KQY7w6hcFgMBgM5t+HmFePGAyGnp6enp5edXV1WlravXv3OnfubGxsbGBggFeqMBgMBoPB/Ctp3xDIXC43KysrPT29sbHRyMgoOzt75MiR5NWpxsbGHz5VjcFgMBgMBvM70L7TKQIUviM3N1dLS8vExERPTw85iY6Li0OerDEYDAaDwWD+ofyi6RSirq4O+RliMpkGBgZycnKvXr3y8PD4ZQJgMBgMBoPBiJ1fOp1C8Hi89+/fp6amIj/pXl5ev1gADAaDwWAwGDHy60IgE0hKShobG8+ePXvo0KG/vnQMBoPBYDAY8dJhb9tJSEgMHjz427dvHSUABoPBYDAYjFjogM0+MlwulxzBA4PBYDAYDOYfRwdPpzAYDAaDwWD+6XTA2SkMBoPBYDCYfxN4OoXBYDAYDAbzU+DpFAaDwWAwGMxPgadTGAwGg8FgMD8Fnk5hMBgMBoPB/BR4OoXBYDAYDAbzU4htOsXj8QQCgbhyw2AwGAwGg/mnIDav6M3NzeHh4bq6ugMGDGCxWOSPqqurMzMzv337VlNTo6CgoKKioqenp62tLa6iMRgMBoPBYDoQcbrxfPToUXZ2tq2t7aBBg4ibb9++jY+Ppy9cGRkZ2draUiZeGAwGg8FgMP84xBmzj8FgAADI87PMzMwnT54AAJhMprGxcZ8+fTp37szlcsvLy1+9ehUWFubq6spk4vNbGAwGg8Fg/sG0Ywjkpqam+Ph4AACTyZw0aZKWlha6z2KxFBUV9fX1nzx58vbtWxMTk/aTAYPBYDAYDKa9aceVoffv33O5XACAtbU1MZciY29v/+HDh/YTAIPBYDAYDOYX0I7TqZycHAAAi8UaMGCA8LKZTDk5uaqqqvaTAYPBYDAYDKa9Eed0Cp2Cqq+vBwDweLzS0lIAQN++fSUlhW8pQgirq6urq6vFKAMGg8FgMBjML0acZ6eGDRumqamZmpp648aNnj17orf5dHR0WkqfkZFRWVmJNgQxGAwGg8Fg/qGIczolISHRr18/IyOj3NzcV69eoZtdunQRmpjL5SYlJQEAZGVlxSgDBoPBYDAYzC9G/G/2MRgMfX19fX39r1+/pqeny8nJCU1WVVXF4XAkJSXV1dXFLgMGg8FgMBjML0OcbjzbBI/H+/vvv3V0dLp3794hAmAwGAwGg8GIhQ6bTmEwGAwGg8H8O+gYj+QfP34sKyvrkKIxGAwGg8FgxEu7rE5xOJyKigopKSllZWUpKSl6Ah6PFxkZWVtb279//5a8UmEwGAwGg8H8IxDzdIrNZsfGxiIHngAASUlJAwODIUOGKCoqUlLW1dUFBAQAALy8vMQoAAaDwWAwGMwvRpxv9vF4vFu3btXU1JDvvH///uPHj7a2tv379ycnxv4RMBgMBoPB/DsQ53TqxYsXaC6lp6dnYWGhqqrK5XLLy8vfv38fFxf37ds3Ozs7BoMhxhIxGAwGg8FgOhxxTqdyc3MBAD179hwzZsz/y11SskePHj169KisrHzy5ElERMSIESMkJCTEWCgGg8FgMBhMxyLON/tQMOMhQ4bQP1JRUXF1dVVRUQkPD+fxeGIsFIPBYDAYDKZjEed0SklJicFgKCsrC/2UwWBYWloaGhqGh4c3NzeLsVwMBoPBYDCYDkSc0yl1dXUIoejFJwMDAxMTkwcPHuDIxxgMBoPBYP4diHM6ZWlpyWKxsrKyRCfT1dW1sLB4+PChGIvGYDAYDAaD6SjEOZ1SVFQcMWLE8+fP09PTRbuz0tLSsrOzk5GREWPpGAwGg8FgMB2CmIPM6Orqurm5lZSUhISElJeXi0jZrVu3yZMny8vLi1cADAaDwWAwmF9Me4VAFggEfD5faIQZMo2NjXJycu0hAAaDwWAwGMyvob2mUxgMBoPBYDD/EcS82YfBYDAYDAbzXwNPpzAYDAaDwWB+CjydwmAwGAwGg/kp8HQKg8FgMBgM5qfA0ykMBoPBYDCYnwJPpzAYDAaDwWB+CjydwmAwGAwGg/kp8HQKg8FgMBgM5qfA0ykMBoPBYDCYnwJPpzAYDAaDwWB+CjydwmAwGAwGg/kp8HQKg8FgMBgM5qfA0ykMBoPBYDCYnwJPpzAYDAaDwWB+Ckkx5pWdnV1eXv4zOQwaNEhOTk5c8mAwGAwGg8H8AsQ5ncrNzf3w4cPP5NC3b188ncJgMBgMBvPPQpzTKQBAly5devToISEh0dYHORxOZmameIXBYDAYDAaD+QWIeTo1duxYJSWlH3tWIBCIV5gfoLa2VlZWVkpKqqMF+ScBISwqKtLW1u5oQTAYDAaD6RjEfBRdQUHhh59lsVhilKStZGZmenp6amho5Ofn/2RWNTU1q1at0tXVVf0fU6ZMefjwYetzaG5u/kkZCHJzc5csWYLEsLGxEVe2ZAkdHR27d+++bds2cWWOwWAwGMw/C/xmHwgPDx8xYoSRkdHZs2cbGxt/PsNOnTodPXp0wYIFlZWVlZWV0tLSt27dGj16dCsfv3Lliq+v78+LgdDT0zt9+rSsrGxlZWVVVZVY8iRLyOFwXrx4AQB4+vSpWDLHYDAYDOYfhzinUw4ODkzmj2dobm7euXNn8YnTWhQVFe/cudOnTx/xZmtgYIAu9PX1W6+WN2/eeHh4QAjFK0ynTp3ElRVFQhaLFRAQMGPGjAMHDoirCAwGg8Fg/lmI8+xUS7t1FRUVnTt3lpT8TlnS0tJiFKb12NnZAQAMDAx+8rXEH0AgEJBnWu/evRs5cmRTU5OIRyCEDAajNTfp+f8AaNpEZC5UwmnTpk2bNq310opXQgwGg8FgOpxf8U1WWFj4k/6ofgGiv/XFwq1btwYPHmxiYmJiYlJcXDxp0iQlJaWuXbteuHABAFBVVWVvb19aWgoACAgIMDExefz48dOnT62trdEj79698/Dw6Ny5s6OjI4/HAwDk5OSMHz/e1dV1+vTpTk5Or1+/Jsqqq6ubNWuWioqKmpraqVOnyGIkJiZaWlqiPPPy8l69euXi4oL+vXLlCpEsJSXFycnJ3d29V69eI0aM+Pz5s1AJ3d3d0bMeHh7Esy0J5uPjgxLPmDHj9evXVlZWLBbL0NAwOTm5HfWOwWAwGEx7A8VHXV1dVVVVeXn5169fCwsLKyoq0P3U1NTz58/HxMQ8/b9kZWWJsfSfZPz48UghHz9+FEuGN27cQBlaWVkRN6dPn45uzps3786dO2hhjMlk5uTkCASCrKws9OnatWvZbDafz4cQ7tq1C90cNmwYcZb81atXb9++VVBQ0NbW5nK5AoFgwIABUlJSsbGxEEKBQGBpaQkAsLW1LSgoOHHiBFoBMjIyQmJ4eXmhfDIzMyGExDH5gwcPogQhISFMJnPRokUQwmPHjgEAhgwZIlRCNpuN1h2HDRuGnhUhGIRQQ0MDAKChobF8+fJbt25pamoCAHR1dcWicwwGg8FgOgSxbfZBCO/fv19ZWYn+7dq1q7W1taqqKvq3sbExIyOD8oiEhISmpqaioqK4ZPj9UVZWRhfbt2/v0aNHU1NTQkKCQCB4+fKlvr4+sVsqISEhIyODrgkd2tjY+Pn5+fn5VVdXDxw40NbWtr6+3sXFBbl1sLa2fvv2raen5/v378PCwlJSUgAA3t7e3bt3X758ub+/P3krk3JGrWvXruR/a2pqli5dKhAIJk2aBAAwNjYGADCZTAaDQZdQRkZGTk6utraWeNzDw6MlwSQkJJSVlb9+/cpisY4fP85gMKKioi5cuJCXl1dWVtatWzexKBmDwWAwmF+M2KZTDAZj2LBht2/fZjKZdnZ2AwYM+O72GZ/Pz8zMtLCwEJcM/yDk5eUBACoqKujf1rxRiJamkD+CysrKpKQkQJoJoYvs7OyPHz9GRkaim/369UMXbXKsmpiYiDZn1dXVAQAODg5ZWVm6urqteVa0YIaGhuimnJwcMo82aQCDwWAwmN8TcR5FR9+Iw4cPp78lZ2RkZGFhQay4AAAghM+ePfv06dN/czr1A5Cdi2ZnZ6MLQqVofgYA+PDhw+fPn9H1j7lUff/+Pbog1pxa/9qjaMGI6RQGg8FgMP8mxHkUvaioSFdXV+hXr5mZmZKSkjQJFotlbW1dVVXF5XLFKMN/hO7du6MLPp+PLgg1amtrE7MoNpv9A5kT24vE3Ehcgv2AMBgMBoPB/P6IczpVXFxM7C6R0dHREbpMwmKxVFVVv337JkYZfhgobldPPwMSRoRvdC0tLbT7VldXh+7U1NQAAJSVlfv162diYoJuFhYWkjMkIBa6iEkPmcGDB6OLgIAAikjflVC0YC1VB4PBYDCYfzTinE7V1tYSCxtkVFVVWzq7Iysr+5scmiFiy5SUlIg3w4KCAmIuQlQWrRsR/yJPTsSkMzk5OSYmBnker6+vRzcbGhrI+R89ehQAkJaWhv598+YNAGD//v0yMjIeHh5ycnIAAPR2YUREBAovXVRUxOFwAAC9evVCT0VHR9fW1p47dw79m5eXBwAwNjb+448/AAApKSmenp75+flZWVnz58+vr6+nSygQCFCexEqYCMGIKhOJKRrAYDAYDOYfiRjfEjx27FhDQ0ObHgkODv7w4YMYZfgBdu/ePW7cOEIhPXv23LRp09evX384w+rq6iVLlpDfnhs7dmxoaOjNmzcJ7+QjRowoLi5GL80BAAwNDZHPgtmzZ6M71tbWNTU1CQkJxB5Z//7979y5Qy4oJCREVVV13bp127dv79Sp04ULF4iPHj9+jATo0aPH0qVLBw8erKCgMHDgwAULFkAIuVyuvb09ylZfX//kyZMMBkNfX9/Jyenhw4cQwoaGhoULF6LT4kwm08HB4fPnzyhnioSzZs1C/0pJSV2+fFm0YBs2bCB0snv37oSEhC5duhAKaWpq+mGdYzAYDAbTgTCg+Da5zp49O27cOORJqDUIBILz58+PGTMGn6ohk52dzePxjIyMWpMYQojS9+3bl+JevLm5+e3btxoaGhoaGgUFBd27dye/awkhfPfuHYPBMDQ05HA4HA6HcOJAUFdXl5WVZWhoSHFm0RoJRQiGwWAwGMy/DHFOp27cuKGpqUkse3yXvLy80NDQ+fPn/6dcT2EwGAwGg/mXIc5lAx0dnfT09K9fv7YmMYfDiY2NVVZWxnMpDAaDwWAw/2jEOZ3q27cvAODRo0eUQ9N0eDze48eP6+vrW+/QCIPBYDAYDOb3RJybfQCAx48fv3//nsViWVpaGhoaEjFJCNCRmqSkpLq6OhkZmXnz5klLS4tRAAwGg8FgMJhfjJinU83NzSEhIRUVFQAASUlJNTU1NTU1OTk5CQmJ6urq6urqyspKwiPR2LFj9fX1xVg6BoPBYDAYzK9HzNMpAEBjY2NERERRUZGoUhkMBweHAQMGiLdoDAaDwWAwmF+P+KdTAACBQJCRkfHy5UvCBSUZDQ0NGxsbDQ0NsZeLwWAwGAwG8+tpl+kUAkJYWlpaVFRUX1/P5XJZLFbnzp21tLSEek7HYDAYDAaD+YfSjtOplvj69au8vLzQKH4YDAaDwWAw/zgkf32RfD7/r7/+ghDq6Oj06NFDT0/v18uAwWAwGAwGIy46YHUKACAQCGJjY9+/fw8A8PLy+vUCYDAYDAaDwYiLjgmmxmQynZyc1NTUOqR0DAaDwWAwGDHSYbFpGQxGv379Oqp0DAaDwWAwGHHRYdMpAEC3bt06sHQMBoPBYDAYsdCR0yk5ObkOLB2DwWAwGAxGLHTkdApH68NgMBgMBvMvQJzTKRSqD4PBYDAYDOY/hTinU+np6W1Kz+fzxVg6BoPBYDAYTIcgzulUc3MzciXVSmpqasRYOgaDwWAwGEyHIGav6I8fP05ISJCVlW1N4oaGBvGWjsFgMBgMBvPrEX+QGS6Xy+VyxZ4tBoPBYDAYzO+J+KdT0tLSrVmdam5ubmxsFHvpGAwGg8FgML8YMU+nhg8f3rdv31Ymrquru3XrlngFwGAwGAwGg/nFiPMoupSUVOvnUgAARUVFPT09MQqAwWAwGAwG8+thQAjFlVdDQ4O8vHx7P4LBYDAYDAbzWyHO1akfmBj9znOpX+MWq/WlCAQCMc59ET/20sDPaIb+LIfD+WWliyVn8Vb/FyNUgDZJ9ZNV6HANIETrQYSQEMK2dsOf1/mPFfHDz/L5fB6P92tKbxO/ifH8nrReOT+mxh+w/P8aHRlk5tu3b2w2uwMFyMzMHDx48Pz585ctW2ZmZjZr1ixPT09bW9uLFy9u3Lhx4MCB7S3A5cuXnZycWpl49erVq1evFlfRT548OXny5OjRo//88882PXjv3j1zc/MfK7S8vFxRUZHwnv/x48d9+/aFhoYaGxvHxsZ+9/HXr1/b2tru3r37x0oXQVJS0tChQ7+rim/fvrm7u48ePfrHSvkZ1f08fD5///79QuOOm5qa/vXXX9/Nob6+3svLy9LS8scEaL/maxOJiYlGRkb37t0j38zNzZ05c+bEiRPRvy0p5Pr16927d8/Pz29lWe/fvx82bBi9ypSO8JP8ZG7kytbX1+/evTssLGz8+PF79+5tzeM5OTmdO3du75G8lT30v0lgYKCOjs6LFy9ak/jHRqG2Wv5/FNhBvH///tixY6dOnWpqauooGRITE0+dOgUhrKqqAgCEhIRACDMzM3fu3BkREaGjo9PeAtTX1+fk5LQycUlJSWlpKbpOS0urqan5maJ1dXUbGhpqampyc3Pb9CCbzc7Ozm7TI2Rp09LSiPumpqa1tbUQwtzc3FaKMWXKlK1bt7ap9FYyduzYvXv3fjfZ6dOn7ezsfqyIH1Ad4uebG5GZmSm0y3/48IHNZrcmh5CQECMjox8WoP2ar00YGRmhzk7m0KFDLi4u6LolhaBJQ5u6zLRp04RWmdwRfp625lZXV/f69Wt0Ta7s6tWrw8LCIIT19fUvXrxoTVYCgeDt27dtKv3HaGUPFTuJiYm/vtC2oqCgkJyc3JqUbRqFCDv5Acv/D9Jhq1NoBtOx7hJ0dHRmzJhBuWloaDh+/HhJyf/3ziObzW5ubiYnQF9sQjNE+1Y8Ho/YwGpoaKAkrqurI67l5eW7d+9OyZz8L9qMa2pqAgCoqakpKysDAEpKSiZOnNgmvfF4PLLT1Orq6ry8PGlpaSUlJV1dXXotBAIB+U59fT1RCxkZGcojFJlR3YlqUqQdMGAAWmquqanJyMhQVFQEAHTv3l1FRYWcCVlLZISGzRYIBDwej8/nU3RCqbVoKDk3NjZS2l0gENTX1xOGgWCz2fQN05YshKI6gUAgYqOTqAu9uen1ItsJIQNdKorwBAYGBhISEoRUQpWJIHKgK7ahoYGiMUBTRUtRz0UbM12fXC6Xz+fTi0N6YLPZorczUC0ghORyybKRFUIWj6g+n8+naIBuME1NTRwOpyWdEx0B0LoMHbqpcLlc8h1yboCmMUr+zc3NM2fOzMrKolc2JiamS5cuAAA5OblevXqRS2xJPAaD0bdvX/KIIWKEJMsPSBYrVAM8Ho+86EXvoaKLAABACFGjEI1Fd4tIt1vyAHjw4MGrV6+2lD95YBSRG1kACGF9fT3lU9FfGRR9Cu2hLfUsOpRRSITtke2kTZb/n6XDplNmZmaWlpYjRoxAU4QOQUdHp1OnTvT7xsbGAAAI4eHDh6dNm6apqZmdnQ0A+Pz58+bNm/39/U1MTBITEylPHT16VFVVNSQkZNmyZT169AgNDd29e/eUKVNMTEzQQYSDBw+eP3/+7t27zs7OfD6/oqJi9erVpqam6PEzZ84cOnQoLCzM0dExLi6OzWb7+vr26dPH39+/S5cuERER06dPnz17NgAgISEhNzc3ICDg1atXS5YskZOTe/36NQAgNTXVxcWFMspwudz169cHBQWdP3/excWloKCgtLTU398fAODv7//w4UNKLXx9fePi4vbv33/kyBEAQFlZmY+PT3h4uJub2/Hjx+vq6nx9fQ0MDFDiyMjIPXv27Ny508LC4uvXrx8+fDA3N1+zZs3atWv79eu3bds2srRv3ry5cuWKjo5OZmZmU1PTvn37mpubjx49evjw4UGDBi1atAjl+fz58x07dkRERNjZ2SUkJLTUditWrFi5cuX79+8jIiLU1dVPnDixaNEibW3tqKgoobXOzs5WVVX19vZuaGhwc3Pr3bv3p0+fAACLFi26efMmOWcOh+Pn53fy5ElbW9sTJ06gm4GBgfv3779582ZQUBCRcsOGDQEBAStWrLC0tNy8eXNtba0IC6Go7saNG5cvXw4JCVmwYAGlahkZGTt27IiOjnZ2dqYokF4vip2kp6dTGgUA8OrVq9WrVz98+FDoRltKSoqFhcW5c+cAAEKVSYHP56Mqd+/e/dWrVwCAL1++LF++/NGjR2vXrl24cCEaoJ8+fert7R0dHT1p0iRkb0Kbr6GhYd26dQkJCQsWLEhJSaEko2fy8uXLwYMH+/j4ODo6urm5kVvN29vbwMBg586do0aN6tq16+PHj8vKyhwdHZcvXw4AuHz5MovFQh0ZAJCYmDhixAhNTU0PDw8RCqG0BSI0NHTu3LlaWlrBwcFAmMHw+XwfH58bN26cOnUqOTmZrkOiI1RWVs6ePXvs2LG7du0aNmyYvb09PTHFVAQCwa5du4KCgnx9fefMmQMhJHIDtDFKaP5v37599epVZGRkeHg4ubLXrl37/PlzUFDQ0aNHXV1dCVsV0SX5fL6/v7+GhkZxcbHQ9rp58yaLxSotLc3NzR0+fPjs2bMpFhsaGkofNJqbmxcuXBgTE+Pj4+Pr60tRiGibIXjy5En37t0PHjy4ceNGExOTgwcPnj59euHChTo6OsgMhNoteQAsLy9/8ODBu3fvkH7IUAZGobnl5OTY29svXrx4z549Li4urq6uDx48WLFiRe/evdGY892vDLo+RfdQPp8v+huBPAoJHa7JkO0E3fmu5f/X+fULYr8h5M0+RHR0tIqKSlVVFYTQyckJLTI7OztnZmYWFhauWrXK1NSUkgkaUIqKiiCEq1evtra2RofHtbW1nz17BiG0sLAoLCyEEOro6KSmpkII//rrL319fQjhs2fPDAwMUD6xsbHKyspVVVVxcXHS0tJfvnyprKzk8/l+fn6urq4QQvRL4uvXrxDC+vp6FRWV6OholFtUVBRFqj179ixatAhd+/r6Ojg4QAgLCwsBAPTtDB6Pp62tXV1dDSGMjIyEEI4dO7agoABC+Pz5cw8PDwhhfHy8iooKhLCiosLZ2bmwsLCwsHDIkCFr1qyBEI4bN27lypUQwri4OG1tbYq0fD5fQkICbQ1kZmYymUxU7o4dO6ZNmwYhrKmpsbe35/P5EMKzZ8+ePXuWIuGMGTO2bt16//79v/76i7ipqKh4//59COH27dtnzZrVUq2XLVuGbmZnZ8vJydXV1UEIN2zYgJrJ1dUVtfKWLVuCgoIKCwtv3bolISFRWVmZnp6OcoAQ7t27F232vXnzBm0HV1dXM5nMjx8/ftdCCNVBCB0cHP7++29Cz2T8/Pz2798PIYyKihIIBGQFCq0X2U7KysoojcJmsw0NDdGmKvpqhzQcHBxOnDjRkjLJ3Lt3T1lZGeU2b948ExMTCOHw4cOvX7+OEtja2vr5+dXU1HTt2hX1hZqaGgUFhfj4eKHNFx8fP2rUKIFA8O3bN8ruUkuZ2NvbL1u2DEL47ds3cvqYmBg5ObmKigqkHD09PQiht7f34sWLUQImk5mZmQkhNDY23r17N7IEKSkpVN8TJ04Qm32EQihtgX6FJyQkQAh37dqF0tMN5uTJk76+vigrFxcX+mYfuSMcPnzYzMysubm5qamJxWLRd/8ppnLw4MFr165BCGtra0ePHl1fX0/OjW6BQvM3NTW9ceMGvfW7deuG9rYSEhK6desGW9El0TpoYWGh0PZCy0vIenfu3Im6OWVkow8aubm5VlZW6EJRUREVRPRQETZDoXfv3sgyQ0NDZWVl0TLPrFmzUOvT7ZY+AK5Zs4awHzL0gZGeG4TQ3d0dddjq6moAABqoL1686OzsDL/3ldGS/QvtoSoqKmiz77vfCORRiK55CoSdtNLyRbTFf4GOPIr+m6OgoNC5c2cAQI8ePaqqqurr69+/f5+RkZGSkmJtbb1161ZKeikpKQCAkpISAEBTU1NVVZXBYKA75eXlAIC///67tLT07t27HA4H/WIgVmjDwsKIZSpHR8empqaUlBQWi6WgoKClpaWsrMxkMoUu58rLy3t5ee3fvx8AkJCQQD/YHhoaOnjwYHQ9bty4+Ph4EftfEhISjo6OAwYMuH37NvpZ8/LlS7QdOXjw4DNnzpBlRr8LU1JSUlJS1q1bN3nyZKQEdXV1AICWltaXL18o+TOZTPIeCgFSFAAgKSmpW7duTCYTALB48eLFixfTE4eFhV28eHH8+PHEHSkpKTU1NVRoQUFBS7X29PQMDg5ubGz89OmTiorKrVu3ysrKNDQ0iNIRERERDQ0NKSkpDAbj5s2bDAYjODgYLVgCANBWCAAAQvjly5fa2tpOnTrp6OgAAL5rIeQWnDNnjqOj4+7dux0cHCjJXF1dd+zYMXfuXGNjY4psQutFtpPnz5+D/9soz549k5aWRpuqhPAiBKMrk4KGhgbKbfHixWlpaRUVFY8fPyYOt44bNw6teUhISGhqagIAlJSUbG1tiR+4lOYbMmTIx48fbWxs8vPzKSdkW8qExWIZGhoCACgbxNLS0goKCqqqqgCAuXPn5ubmou8woaAf6L1793ZwcHj69GlLChHaFqhH9OjRA+VPN5igoCCiOwvVObkjSElJqaqqSkpKslgsVVVVus4pphISEoIyV1RUDA8Pl5eXJ3ITaoHfzV/owNL6LkkeEFpqdAqUkY0+aOjq6iYmJkZFRT1+/Ji+qSfCZihISUmhAVlDQ4O4VlJSKisrY7PZdLulDIAtZUsfGIXmRhagU6dOcnJyyBiIbwTRXxkt6VN0D/3uNwKls4sYrul81/K/m8O/G/EHmRENhPDNmzd5eXlycnL9+vXT1tb+xQL8MLW1tVVVVWPGjEEhdNBpBhaL1ZpnIYQAgBUrVqAl3/Xr18P/uzvOYDDQLxWEsrJyK8NIAwC8vLwOHjz45MmTrl27olGPknNRURGRraSkpOhd9oCAgNOnT7u7u798+XLlypVlZWX19fUKCgqoFuQOU1NTw+PxpkyZgv4Vyxm4qqoq8ssjlBIRTk5ODx8+PHbs2MqVK1vKR2it+/fv379//9u3b6empvr7+x88eLCysnLu3LmUZ2tqagwMDOzs7Ih6lZeX0w85DRw4cOPGjcuWLbOyslqyZEmvXr2Ki4tbbyHz58/X0tLy8vJ6+PBhYmIiueH69+//+vXr5cuXDxw4MCkpqWvXrqLrRRGe0iihoaH0c1RioWvXrvLy8vLy8sh60QQFmS6DwSgvL+fxeOjIhbKyspycHHqK0nwsFuvly5dbtmyxtra+efMmeZYsIpPvIiEhQUwiv1sL9OUkFEpbUE46IoQajBh1TjEV1EcIh8nkPiJ0jPrJ0lvTJRE/014U6uvrZ8yYcfToUfTeA+VTETbTSlAt6HYL/j/2rjweyu/737FvKUS2pIVQaaGyZWnflCLSnhYt2iSi9Klo1aYUad9EJFmiRFIiCWkhe8m+72bMzP39cX+f5/V8n2dmDNGnz6d5v3r1ety599xzzz3nPss995z/XQCPHz/OsnljYyN5YWRJjQMD3HDYM3lyviP0Isia33d9/SvQh7KGEIaGht65c+fRo0eFhYWoMC4u7tWrVyUlJV+/fg0NDcVcGf5ZIMdDgooTgtAoKChIS0vv27cPlZw8eZLgr00AgVpRUZGfn9+0adOYTGZbWxuh7YIFC1JSUtBR5/r6ehERkUmTJhGIYNdCQkJ8fHyYP6OUlJSDg8PSpUuXLl1KZsPCwiIiIgJd5+TkLFy4UFBQEJEim3RLS0tYWJiDg8ObN29u3bqloKCgqqrq5OSEtjnOnj2LPmmiyrq6uq9evQoLCwMANDU1EfxjsAESuMWaE4aG/tTT00tPT0f+SVVVVdevXyePSExM7OHDh3/99Rc5tgLWKctRAwA2bdq0f//+KVOmzJs3r7Cw8Nu3b/iHFYRJkybt3bsXbVIEBQXl5+dPmjQpMjISvZBhvuc0Gk1ISOjq1aubN292dnYGXGgIfsi3bt2aOXNmenp6WVkZ8uLC/6Smpvb06VNjY+PY2Fi8ANmNi8Ok6OjofP/+PSkpCTEPWAUbY7m4c1ZvAMCnT59WrlwpKio6c+ZM7KR9dna2tbW1np6ejIwM5pmXl5e3aNEidE2YvujoaBqNduHChdOnT9+/fx9PnwMRdncjjOeXL19aWVnx8/NLSUmhLwHfv3/HduvwKCwsRB9WWQqEMBeoEC0I2PpAVpiJEyeifR/A5rACuyGwlDlBVaZMmXLgwAHkn3D79m3kHoeodamB2J9iYmJkkwT/a57cmyQCy/kSFBQUExNDU1BYWIjJn/PwQ0JCampqhg0bhnbkCZXJOpOamoq64AACEREREbLeEhZAgqAwkBdGYWFhMrUueeD8Kwf9R2BnoZzvCN0ydsLwu9R8NiP7Y9CbO4ck3Lx58/Pnz9ifeXl53t7e3t7e0dHRVVVVRUVFd+/eRbvy/yAqKysPHToEALCwsMjKyoIQdnR0bN26lUKhPH36NDs7W11d3dDQsLy8PDY2duDAgfLy8pMnT8aOGSMwmUwUE+XmzZvl5eUzZ85UVFR8//79mzdvxMTEtm7dWlNTo6Ghoaure+LECRMTk+nTp1dUVERHRyPfKQjh5cuXFy1a9PjxY1dX1/T09JaWlm3btiGCdDq9qKho9uzZampqaWlpEMLZs2dPnTr1+fPn2BCmTZvGcnQ0Gm3Tpk07d+4MDw93dHSsrq5uamry8vICAFy+fBk5h2Fobm4eP378w4cP79y5c/78eQjhmzdvlJSUBgwYoK+vn5eX19DQsHfvXj4+vtDQUAjhyZMnBQUFhw0bZm5uXl9fn5ubO3To0Llz51ZUVKA1/eHDhxi3sbGxwcHBAADktY08TO/evVtSUmJiYjJ06FCkKn5+fqKiogoKCkuWLGlra8Ozl5WVpaGhMXPmzG/fvm3btk1MTMzX1zcmJgYA4OrqWllZOW/evEGDBn3+/Jk8akShvb3d0NAQqZyrqytyBYAQpqSkKCsrT5s2raio6Nu3b9ra2uLi4mPHjkU3xc7OTmtr6xEjRqxZs8ba2nrMmDEpKSmFhYUyMjKqqqrjxo2bP39+TEwMhJCDhhBEN2vWrEuXLsXHx2/bto1gAi4uLs7Ozi9fvty+fXtFRQV+usnjIugJeVIghGfOnJGTk1u5cuW2bdvk5ORu3LiB7+7du3eDBw9esGBBSUnJ8+fPycLEV87JyRkzZsypU6fu3r3r7u6OTjaVlpbOnj3bx8fn3r17Bw8eRMNJSkoyMzN78ODBmTNnkBhZTl9YWJilpeXz5889PDyQawgeZCIpKSkKCgrTpk3LyckhVH716pWIiIi7u/utW7c2btyIJj0/P19VVXXatGnHjx9XVlb28PCAEDo5OS1YsODevXvHjh1DLjLIUVpRUTElJQUvEMJc3L17FwCwf//+6urqhQsXysrKpqenkxXm+/fv48ePNzAwsLe3NzAwWLhw4Y8fPzA+mUwmZghlZWXz588fMmTIp0+f0OPazp070TxiIKhKRUWFvr6+sLCwlpZWZGQknlpraytBAxsaGljSP378+IgRI65cuYIfLPJrRosVUqonT55wNkn49xF65BVKni8IobOz87Bhw6ytrbds2aKjo5ORkYHXWJaLxocPH6SkpObPn3/z5s3+/fs7ODjgLTQyMpKgM8OGDZsyZQqBscTERGFhYQcHh5qamj179gAAgoKCCgsL0dSUlJSQ9Za8ACYkJMjJyR0+fBg5VGEgLIwsrSA3N3fs2LHGxsbfvn1Dcc527dpVWVm5cuXKAQMGpKWlcb5lNDU1keXJ0kLRw+7OnTuRUyNkf0fAr0Lslms8MD3hUvP/cPTh41RbWxt+faTRaNeuXfP29g4ODsbuH2lpach19N8CJpOJ3Zt70Ba9bKHwEBDC6OhovMMyk8nk3psPnadFeP369YMHDzhUplKp2HseZzAYjMbGRiqVii/kMEdUKpXwTMYSeG67RGdnJ2Hx6hlYjhpzwCffGPCoqakh3NWamprQ6XT0Z3Jy8sOHD799+/bhw4fXr19v3rwZlXOpIQwGo6OjA1v+CD/R6XSCJuAF2OVskieFSqU2NTXR6XTCoHqGpqYmcrg4JB9CYZf6jJYCzosAl0bx6tUrOTk5svKg2ySEEM8zcmTukibLuWAJssLU1tYymcyfj6vHUlWQEzfL+lxqIHoU5hIcTBI9TuEVkiyupqam7oqio6MDqRPytcf/RNYZGo126tQp7okTeMPrLXkB5CAost6ytIKfRA9cvLu8I3CPLvWErPl/LHozZx8B5eXl1dXVmA/vmzdv0tLSKBSKra0t5p6Zk5MjLS3NMlLzfxtfvnwZPHjws2fPXrx4QT5Gzj2ePn1KpVLDwsKuXLnC0subhz6CgYHBnj17Fi5cyMfHV1FRERUVtW7dun+aqT8aiYmJixYtqq2t/acZ+VOAPo5KSkqamJh8+vTpH+QkLi5OW1ubvHH/B4J3R/gH0Ye+U5KSksXFxei6oqICRcLQ1tbGH3WpqKhgGfnpP4+kpKQlS5bk5uaifcYeIz4+3sPDY+fOnTzL+cU4cuRIQEDAxIkT16xZExsbu2bNmn+aoz8ara2tjx8/lpCQCAoK4gUV/DUoKipasWLFpUuX0E7QP4hp06bxnqUQeHeEfxB9+HUKABAeHk6hUERERAoKCmg0mrS0tI2NDXKeBQB8/fo1JSWFfLSKBx544IEHHnjg4V+Evg2UMGPGjOfPnyOn0cGDB8+YMUNQUJDJZL5//z4/P7+6ulpERAQ7CMoDDzzwwAMPPPDwb0Tffp1C6OzsZDKZWAAe+L9Ji1AYur7m4dcDhSrmppAHHnj4Nfg9DfD35Ip7MJlMFHiprzvqFUGhc/7/FoGjGzT3sv2369K/Gr/iceq3BZPJvHXr1sWLF1VUVEaMGNHY2Dhx4sS1a9f+pDq+evVq48aNx44ds7CwwArfvHnj6Oi4ZMmS3bt3c2577Nix+vp6Y2NjISEhKpVqaGi4cOHCn+GnT1FRUXHmzJm4uLjx48cPGjQIQlheXt7e3k5IhNfXiIuLGzBgQHNzs6enJ51Onzx5cnNzs7y8/I4dO+h0ur+/f0hIyMiRI1VVVSGEEhIS69atQ+GAP3365OHhUVBQMHXqVEFBQQaD8fXrV0NDw8GDB+vo6BCywGKg0Wh+fn63b99evXo1OvUNAHjy5MmxY8dMTEwcHR0JAbv7AklJSceOHauurt65c6etrW1NTQ2KO2BoaOjo6Lhy5Up5eXkFBYXMzEwpKSllZeX8/Pxx48bNnTv39OnT1dXVT58+ReGYETIyMtavXz906NC9e/empaVduXJFVVV17969WBB2lmBnQQUFBadOnXr//r2+vr6kpCSdTh86dKidnR16p3r69OmRI0f4+fkNDAwAAFQqNT093d3d3czMrO/EVVFRsW3bNhkZGRTc/zdBZ2fnyZMn/fz8UN6nfym2bt0qKiqKjv33EcLCwnbt2hUcHMw5DHqX8PHxGTBgwMGDB+/fv89Zt38H3Lt3z9nZ+e3bt9zHux41atTJkyfnzZvXp4zxwBq/4PRgZ2cn4U8UpOQ3gYyMDEoF1dTUNH78eAsLCy4bvn79mt1P6urqjx49IhTOnj3by8urS7Lr1q2bOHEiui4vL581a9bUqVN7HJ2h10EeNcoEh0+e5eTk9Mt6hxCGh4cHBgaia0tLS5RPik6n29vbDx48uLm5GeVPQEF0mEzmgwcPBg4ciIVfOnbsmJiYGEatra0NJVnbt28f57P0urq6fHx8+KR7lpaW3By/x5CRkUE+h9zY2Pjhwwdumm/ZsgWFjUYoKioCAERHR0MIly1bhgq1tLRQOsWWlpZNmzZBCB0dHQUEBE6ePIkntXHjRlFRUTRwBoMhKiqKZZ3rEiwtCLkno2gUbW1te/fuHT58eGpqKmoyc+bMuXPnYhTev3+PpZDrdaAkdBBCZ2dnOzu7Puqlx8jIyMCrXy8CG3hfo6ysrKqq6ufpcFhRIYSSkpLsMvRxaTIFBQX6+voQwsLCQi4Dx3QXnIfAJbDh4GN6cYmcnBzOASl6hcM+JfjvRd/uslGp1IcPH/r5+eHjpQoICDQ0NERFRXV0dPRp71wC+xbVr1+/JUuWREREYCFiUcpMrCaTyUQxYAAAJ0+eRMHTMKBUtQjIGwxCiI+7T8gH0trayvIIEj8/P/ZpV15ePiQkpKKiYuvWrViFzs5Oct49dFfmPFKUcQJry2QyCXQILKH67e3tKL05YDVqAADKtIChubkZO65IZhXRRzKEf2fWxOpQqVSCTPBSZdl7a2urv7+/jY0N+hObTX5+/tWrV5eUlGRkZKBCJFUKhbJkyRIvL68NGzZkZWWR+afT6S4uLgCALVu2oAt2mDBhgrW1tY2NTUFBASqRkZHBf5finGmkoqJi0aJFaMXE0NnZuWLFCny2APh3llkyBAQE8H6H6Br97+bmRqgsLi6+ZcsWVGHZsmVnz57FonWXlZWJi4uLioqirCx8fHyioqL4b1ecwdKC8DIXFRU9duyYoaGhtbU1sgiCzNXU1NAnWA55UVASX+xPvDEisJTSq1evtm/fjq4xWeGVCnCUMJkfstlSqVRC3HOy2iMihH4Rz+w8R7u0VnIveG7xA8cDsUpIzIC3SsBKIIgsnU7H6OMXHAUFBZTeFPFAp9MZDAYh5UjP1haE5uZmJpNJEBQmTLLJEFQFQ1ZWFjoINXToUKSBv2CBwoaPjRQvAbJK4IeDDZlOp3OWJ4aRI0dizjNdCpk80Z2dnSjWGsvmCPgmHIb8B6JvH6devnxZWlqKwlfiy0ePHq2qqhocHPybPFFhyMnJ0dHR4ePjS0xMdHZ2jo2NXbRo0eXLlwEAAQEBKioqly5d0tDQOHnyZERExMePH69cuQIAOH78+LVr1x48eDB79mxskUpISJg5c6aCggK2GYSho6Pjr7/+unTpkpGRESLOARISEra2tsHBwW1tbTQazcnJKTAw8PLly3PmzEHp26qqqtzc3KKiopYsWeLn51dVVWViYuLg4AAA8Pf3FxYWLi0tRbkpNm3adPTo0WnTpi1btgzlUhg+fHh4eDiZJQjhkSNHhg8ffvXqVUtLSxUVlfr6+urqavyo2cHT01NMTIzMamlpqa2tra2trZ2d3ZAhQ168eKGsrHzmzBkXF5cxY8Z4e3v7+PisXbt2yJAhKEdYTEyMu7v7y5cvDQ0Nf/z4wa53X19fLLYZAV+/fhUUFGT56/Lly/n5+e/du0cop9PpJ06cQLmxUJBizgF1rl+/PmzYsIULFxIyUeTn5+/bt+/ChQva2topKSkVFRWLFy8eMmRIVVWVpaWlr68vg8FISEgoLi6+du3ahw8fsIYfP35MS0uLjo5GySUuXbp09uzZ8PDwqVOnokQxXGLUqFHkwjFjxqCL3bt3V1VVYefbfX19kcL8PDALIv+0YcOG4uLixMREQnlZWdmNGzdERUUDAgJu374dFBRkb2+Pr0Cj0ezs7F68eLFnz54jR46A/zVGX19fgrSxhhDCgICA8vJyHx8flMGprq7OycnJzMxs8uTJyIcmOjr62LFjBw8e1NfXJyQqIfBDNlsmk+np6RkYGOjq6oqijpHVvq6ubsWKFQsXLjx8+LCpqemsWbMQ8Xfv3jk6OkZFRZ08eZIgkC6tleU6gOeWPHAAAJVKdXZ21tTUPHTo0Jw5cwYNGpSYmEiwSsBK5c6ePSsnJ/fgwYMtW7YMGTIkKirKw8PDwsJCT08PQlhcXLx06VIUKCQ6OlpeXv7ixYt2dnZKSkovX74ky61ba0tVVdXWrVufPHmCYr6jQsJ6izcZsqpgSE9PDw0NLSkp8fHxQYkTfs0CVVJS4uDgEBMTs3Pnzk2bNnV2dn79+lVHR8fJyWnXrl2amprHjh3D1yesAACAsLCwNWvWKCoqouRRHG4fKSkpEydOvH79OjdCJmh+WlraxIkT9+3bZ2JiYmtrS24OSMsal3eEPwh99+GLSqVeuHDh4cOHubm5TCaT8CuTybx58yaWJuUfhJycnKWlpb+//+rVqydNmoQS0Q8cOLC0tBRCWF9fLy4unpKSQqfT+fn5w8LC2traWltbt2/fvmXLFkRBR0enrKwMkfry5QuEUEtL68SJExDCL1++8PPzP3v2DEK4YMECtNm3b9++oKCgkpKSu3fvCgkJEbZ7Nm7cOGnSJHxJZGQkAODTp09HjhzZsGEDKnR1dZ09ezaEcP78+ViGBwcHBwiho6Pjxo0b4d+vVujXtWvXorZVVVUAALQR4O3tjbZmyCylp6cLCQmhrSs9PT20m4YfNYaPHz8CAJYvX+7o6GhnZycnJwchZMnqwYMHx48fz2AwUDThoUOHBgQEQAgfPHggKSmJPr9bWFh4e3tDCDdt2vT48WMIobW19aVLl9j1bmlpefXqVexPa2vrUaNGXb9+3dnZWUtLC+3EobxmaBcMg46OjqWlJYTwwoULAgICjo6Ojo6OFhYW8+bNw+osXboUrU0sgYRcUlIiJye3aNEiJpOJSiCEM2bMyMnJKSkp2bJli4GBAYSwsbFRSUnJx8cHKQaEEK1Q5G1cbW3t4OBgCOHr16/V1dVR4bNnz2RlZQk7FNu3b5eRkdnyN1DMkdjYWHwdbLMPg7Ozc319/bJly0aOHIkySKJNQGlpaWwzGn/dJcgWBCFEydSwGPTw7wMoPj4+EMLFixcPHTrU0dFx586dkyZNQn2Zmpq+f/8eDRZPHz1eQAizs7NlZWUhhARjJEsbw6NHj7D9UDc3t1mzZjGZzPb2diEhoYyMjJqampkzZ5aUlJSUlIwfP97NzQ3flsAP2Ua8vLxQbo36+vq5c+d2dHSwVPszZ85MnjyZTqe3tLQICgoi50ItLS1k+C9evCBv9nG2Vpa9ELjFDxxDXFxcv379UJRtFxcXTU1N+L9WyVLlvn//DgBAS9zmzZux7CVSUlJoT+rgwYPW1taosF+/fpGRkRDCvXv3oge7n1lbLC0tUWqN1tZWERERtNlHXm8xkyGrCh537tzB1OOXLVDTp09HRCCEBgYGyPzNzc13794NIXz69OnIkSMJTbDhoAX8zZs3EMIDBw4sWLCApTzxbU1MTHx9fSGEnIXMUvNNTEx27NiBEgawbE42NJZD/mPRhxEKGhoaVFVV58+fz/JXCoUiLS39+fNnY2NjLBLVP4UhQ4YYGxsvWrQIhRh9+vSpgICAoqIiAGDAgAEGBgZPnjyZPHkyPz//yJEjyanC09LS0tLSkpOT8Z9kUWpxTU1NY2Pj5OTkGTNmYPVjYmKGDh2akpIiLCx87949LKMkO3z//p1CoaiqqoaHh9vZ2aFCc3NzLy+vhoaGtLQ05KhoYGCAfHtZQlBQEH3fRmnG0UglJSXRGzmZJUFBQQEBAbR1paio2KWr7M6dO5GXKHL1JbNKo9GEhYXV1NT4+PhkZGQQS2h3SUFBQUREBLEnKSmJbiG+vr4lJSVor5NDrvK8vDxCpk8pKSl9ff2ZM2ceP36cw4mY79+/T506FV0LCQmdPn0aXeNdlaWkpL58+cJ54MrKyo8ePTI1NcXehltaWr58+YKeMs3MzGbPno3G5e/vv3DhwsrKSs4EMUREREyYMAFdT58+vbGxMS0tzdTUFF9HSUnp4sWL6PrHjx8obys3cHFxGTt2bHh4eEVFxdq1a7lsxQ4EC2IJdFceNmwY+lNTUxPJnEajoc+Ea9euNTU1dXV1dXJywjccPnx4QkLCs2fP8vPzkSbw8/NjxshS2uygpKSEIuHJy8s3NDSgVyb0QcvNzY3g8Evgh2wjwcHBSOADBgyIiooCbNReUFBQRkaGn59fXFy8X79+P378+Pz5s4iIiLi4OACApcQ4WyvLXthJDw8hIaF+/fpJSUkBAFauXHnixIn29na8VbJUOQ0NDQAAMlVFRUUs7ny/fv0QP9ipbcT5oEGDkKjRZnqP1xYqlfro0aObN28CAMTExNA3Y8BmvUUgqwo7/JoFqr29PS4uDrPQ+fPnR0VFOTs7CwoKoqMw3CytgwcPBgAMHTo0ISGBpTzxlbG54CzklJQUsuYLCwtraGigW3NZWRmhebcM7c9EHz5O8fPzYwbAEnV1deh/ZH7/IGRlZUeOHIn9SaFQUB4itHUtJSXFeSAODg5z5sxZvHjxtm3bIMmBSVZWlpBFp7GxUVNTE3v0IXjPkPHixQsTExNxcXEKhVJRUYEKpaSkBAUFW1tbq6qqWlpakKlDCLt7XBkx3F2WOGDTpk0AADKr3EcXQyzdu3cvJyfn8OHDyKmfXWUFBQUCt2JiYugGwAHZ2dnV1dUsz78g/hHa29vRDghnGBgY+Pr6rl+/HmlRU1NTQ0ODubk5WtoYDAaNRhMSEqqpqdHR0dm7d6+/v3+XNMH/ypBCoQwYMID8KN9jaGtroyfOMWPGEDbXWOL79+8qKirsfiVYEEskJCRISUnp6ekRyoWEhNDz3KpVqwYPHmxvb//06dMXL15gmtzS0rJs2TJvb+9hw4ahXLZ4sJN2lyMCfztHWllZoT8JikTgh2wj9fX1xcXFmLIh6+NG7aurqzn71bED/PvYPLkXArddkhIQEJCQkCBoVHdVjoNhYujx2lJfX89kMhsbGwmedhzWW86qgsevWaBQ/IiKigr0di0lJfXzJtwrazVnzWcJlobWg67/w+hD3ykpKanKykq8wyMeFRUVaEFBr2j/IJhMJoFJPT09KSmp6Oho9GdBQQEWqgAzGzExMbR5UVRUdPny5alTpzIYjPb2dvJ4S0pKCJEOJk6c6OLigvzG7t69S3hvIFA4c+bM8+fPr1+/DgBYuHDh48ePUXlOTo6lpaWSkpKqqqqzszOTyaTRaN7e3gAAaWlp5DCB9vhZeiwS7J/MEvxfH3zCqMkMEwiSWUX+NOzWHXK5m5ubiYkJhUJpaWlBXbDsfcyYMWgvD2OGPAWEkoqKigULFuzcudPExAT9yo6ryspK5IRUWFiILb4YmpqasOt169Zt3br169ev4G/PXHd3dwAAnU5HzjH5+fm1tbUPHz588OBBXFwcAEBYWBiNjkAWG+aCBQvevHmDPgbU1tYOGDBg/PjxhHHhJxcNkzDd5NFRqVTkZOri4pKSkoJ9P8ZTIxApLi6+evUqk8mMj48nu4pzI/PXr1+7uLhcvXoVfRphKfNbt26ZmZllZGQUFhbijSIkJKS2tnbo0KGYJiAgCiyljYGgM9irPLrQ0dF58eJFREQEAKC+vt7X15cDP2QbMTIyOnjwYENDAwDg5s2b1dXVLNWebEo6OjqFhYVv374Ff7v6cn4u4ca4CNyyNBaAm5eXL19aW1sT6HepcmRmCCXYNdZRj9cWeXl5ZWVl9OWSwWB0dnbSaDSW6y3Wlp2qYLxhXf+aBUpERGT69OnI5wkAkJ2djWROlhIeLJUWU13Otw+MMmchs9N8Ds1ZGhqe1dTUVMxR7w9FX+wgYnj16lV8fDw583lNTc3Vq1e9vb05OKb8AjAYjOvXr1MoFH19ffTxE8OrV6/MzMyCg4NPnz6NUnPfvn0bALBr1y60nRwXFycnJ+fh4VFdXa2hoTFx4kQvLy8DA4PZs2ejUEAWFhb37t07evToixcvIIQpKSmKioozZ84sLi4uLi4eM2aMhITE2LFjCXm/ExMTR44c2a9fP1dX1/3792/YsMHFxQXLKE6j0TZs2ODo6BgeHu7k5ITKk5KSFBUVpaSkDAwMCgsLIYR5eXmqqqrTpk07ffq0nJycl5dXbm7umDFjjI2Nv3//HhQUBABwcXGpqKhYsmTJoEGDsrKyyCzt27ePQqE8efIkOztbWVl59uzZtbW12KjRyw2EsLy8HPnab9q0qbi4GBsImdVv376ZmJgoKysnJiaikQoJCW3btq2mpmbHjh0AgLCwsNzcXE1NzWnTppWXl69du3bw4MEuLi4bN24cOXJkWloauXcIYW5urpWVFbpOSEgYPHjwwIEDHz58iFWoqanZv38/AGDOnDlubm6urq42NjaYd87Hjx9RuKNLly4RPJM6Ozt1dHRQbvn58+ejV2EEKpV69epVISGhy5cvYwnkOzs7zczM0PWzZ89kZGQUFBT09fU/fvyYl5eH7qAQwiVLlsjJySUlJUEIp0+fPmPGjLi4OHy/np6e6urq165dgxD6+vouWrQoPDzc1dU1KysLXy0pKWnUqFHIoR5CWF1d7erqCgCwtrZG3ktUKhV5V4wePTo+Ph61evr06dChQx0cHCoqKiCEy5cvR+5TyKd10qRJaWlpKCf36NGjXV1dnZ2dbW1txcXFo6Ki8vPz+fj4Dh8+jPHAzoK+fv2Kgq5t3rzZ1dV1165da9euRdkRIISxsbGKioqDBg1CricYZs2a5evrGx8fjxw4sPIPHz5ISUmZm5vfvHlTXFzcycmJYIwEaeNpoo/f9vb2r169MjY2VldXz87OjomJoVAoKCbZ8ePHBQUFhw0bZmFh0dTUxIEfso2Ul5fr6ekJCwuPGjUKeeaR1b6hoWHevHnDhg37/Pkz2hDcu3cvk8k8derUoEGDVq5cuXnzZnl5eXyciC6tleU6QOAWG3hubi5G+dWrV2JiYgcOHLh586a9vT3ZKskqx2Qy0Y3z9u3bZWVlZmZmQ4YMyczMTEhIEBAQcHJy+vLly6xZs0aOHJmenh4bGwsA2L9/f2Vl5cyZMwcPHpyTk9PjtQVCGBcXN2jQICsrq927d8vLy+/bt6+5uZm83mImQ1YVjFRJSYmtra2MjAyy/V+2QP348WPWrFkos6GHhweTyczNzVVVVTU3N6+srESf0Ahundhw0GGRQ4cOVVVVzZ8/X0FB4cOHDxxuH+/evVNWVl60aNGPHz+6FDJB85OTk+Xl5WfMmPH161d2c0Q2NDxBFRUVbAH8M9G3YTw7OzvRKcrRo0cPGDBAUFAQ+Svk5eWhCubm5kOHDu07Bn4SdXV1HOIxtra2ok9rEMK2tjZxcXF0ylRERAQV1tfXc2heW1srJSXVg4jw6LAu4QN4bW0t2u9HQPdICQkJKpWK92zgDG5YwkbdY1a5R3NzM/JdwC5Y9n78+HFLS0s1NbWe9cIO169fl5eXnzt3LgCgo6NDUFCwy/iubW1t2L4whLCurg4/KV02wYAfJoSwoaEBfdT5x1FWVhYXF7dy5cq+II4+j7FUGCqVysfHh3a3RUVFySrKQdpUKpWfn5/DVg6NRmtvbyfnYmfJD9lG6uvr+/fvjy/hUu1pNBqNRhMREeHj4/v5dYDMLXngr1+/trGxKS4ubmtr45B7vi9UrsdrC8YMtpSxXG+xtl2qCh6/ZoECADQ1NYmJiXG/n9jlMtvj2weeMjvN5wCyoWEEaTSaj4+Po6Njd1n6z6DPo6JTqdSEhAS0CYKHkJCQoaEhdnKbBx56DAaDcebMmVWrVvWiE15qampeXt7y5ct7i+B/Aw8fPrSwsOBlsfiXIjExccmSJdwfhuCBB+4RFxc3duxYDodR/vP4RUlmvn37lp+f39DQQKfT+/fvP3DgwFGjRvWiXy0PPPz48YP7VAxdoqysDB3t5IGH/wZaW1sPHDjw8OHDU6dOWVhY8BLP88BD7+KPztnHAw888MADDzzw8PPozZN9yAG2x81LS0t/tyDp7ECOFNVl7Kj/Hv7YU7J/4FyzRHflwE39X6NUv+0M9tbC0kcDJB/q7EFHHA7S/jIQDnjiy/El7PIdcUn8X4p/O///IHrzcQodIelx82/fvnEOvPY7ICMjY8qUKSdOnCCUa2tro2M7vxgQwiNHjigrKysrK58/f55dteTkZORSjVBRUeHi4uLt7R0QEFBYWBgaGoodmeYGJSUlR44c2b59e7da/Qfw5s0bPT29c+fOEcqXLVu2b9++wMBAdKK4GlTvBrsvgAvo17KyssDAQBsbGxTGgiXy8/M3bdqko6Nz4sSJ+vp6BoNx586diRMnWlhYpKam9tmAegh0ygyfR7JLhISEkCNO4UGj0Q4fPuzr66umpkZOSdm7+KeslQOysrKMjY0JqlVeXt6vXz8UPZ9LvH//XkdHJzAwsHfZy8vLO3HixOPHj0ePHo0yz7CzhS6xbds2zhGh+hR4ORN00sfH5/79+yNHjnz37t2TJ0+uXr3q7+8/evRo7uXf1NTk7u7OITzbvwK/oXX8a9CLpwRjYmLIMRG4R1JSEjr2/JvDysrKw8ODUNhlHu8+wu3btx88eNDY2IhiB6N0BAQ0NjZOnz596tSp2J8oqC6E0NfXNzk5+eDBg6mpqdx3unLlyqdPnzIYDMKh9D8Bs2fPJmdf0dbWxnLdMyEzHabrQ/1j8Bi+zpEjRwjJXggIDg4G/5tzRkVFxdnZuZcY7x2gbCcQQmdnZzs7O+4btrW15eXlcahw/fr1vXv3QggJ8SB6C42NjSgjCuxta8Vk8pPAklDhwb00Xr9+jS4mTZp0586dXmEJw4QJE1Ayk4KCgu/fv6NClrbQJcrKyqqqqnqXvW4BkzNeJwsKCvT19SGEhYWFBQUFJiYmqDwlJQWfKKlLvH37FksZhFc5DCwLfwY/o34s23K2jl7n/7+EXg7j2eMzI3Q6HSXy/PXgnCwdAZ/CmWXAZc55vBFQVBvuGUMbHyxj8WFQVlZesmSJpKTk6tWrJ0+enJ2dTa5z/vx5fBYRPz+/sWPHTp48GQAgKyurrq5eW1s7ceJEdl1AUtbxDx8+CAkJ8fHxjR49mlCZLDp2qdSxLxBMJhP/NYKb6UBhXbA/2SWxx1fAd8FkMhkMBn5nmZzXnR26DLdNAZTxYLwCUCCUd3mkGbkG4x2EBQQE8H+SJ4Iz6HR6l595yDTxKeUJePXq1fbt2/HcApLo2DEpKiqKjy+PJhffNjMzE8kWO+1L1hxyunsuzbazs3PFihW5ubnoT7y1ol8JgiKzhweTycQ6xcuEG7ZRBUKU1I6ODhqNxtI3fPTo0djmCweuTp48iULSANzU4MPMAlb6QLAXdnNXV1eXk5ODDsOrqKgMGDAAlRNsgTwulvaIokFyrsMO3VJXMghyxutkVlYWynU2dOjQjIwMLJTA2LFj8UpFpVI570djMiGoHLtCzkbdpQkT1A/JH1vZWltbCTt3eP7JqovA4V7WXf7/NPTy41RwcPD169dvdB/+/v742Na/DJyTpQNS9nKsIYTQ3t5+9+7dOTk5nPN4AwBaWlpWrlwZHh4+Y8aMRYsWXbhwAaNTVVVlYmLi4OAAAPD39xcWFi4tLU1NTR03btzOnTutra3V1NSsra3ZBZdHISgRKioqDA0NCRVCQkLmzJmDj2xUUFCAEgi+fftWU1Pz5MmTzs7O7ORDTi/v5+dXWloaEhJy48YNfM2qqio3N7eoqKglS5agtHfkVOooQemmTZuOHj06bdq0ZcuWhYWFOTg4DB8+PDw8nJvpSExMdHZ2jo2NXbRoEYo8yTKJPR537tzx8fG5e/euqalpTU1NQECAiorKpUuXNDQ0fH19CWnhc3NzZWRk9u7d29LSsnjxYi0traKiIgaDsXz5cizB+z8CwkR0yefly5fPnDmzfPnyNWvWQAj3798vLCyMUnQ9f/58wYIF7e3tHFLKL1u2jMAAhDAgIKC8vNzHxwfFPq6rq3NycjIzM5s8eTJatQkEsbbNzc379+/X0tICAHz9+lVHR8fJyWnXrl2amprHjh0DAERERKSmpqakpPj4+DQ0NJA1h8Bbd83248ePaWlp0dHRT548wawVAECj0ZycnAIDAy9fvjxnzpzS0tK6uroVK1YsXLjw8OHDpqams2bNIsghICDg9u3bQUFBKL8vXiZdst3R0fHXX39dunTJyMgIaS+Dwdi7d29gYKCPj09aWhqhr1u3bg0ePDgvL48zV9XV1RERER8/frxy5QoqyczM3Lx5s5aWFpa/j6APra2te/bsSUxMXLNmTXp6Ooe56+joOHHiBJVKPXfu3JkzZ8aOHYvC9uJBHtfHjx+PHDkSGxtLyOxWXFy8dOnSNWvWAADIPGDorrra2tpu3rxZTEwsMzMTAPDmzRtzc3O85xNZznidTE9PDw0NLSkp8fHxiY6ODggIKCgoOHfu3MmTJ2VkZB48eAAAYDKZnp6egYGBrq6u69ato9Fo27Zt09bWBgC8fv1aUVER5fzGgFc5doXk1RUPwpR9/PhRU1Nz4cKFVVVVenp6KPYvpn4fP360tbW1tbW1s7MbMmRIcXHxxo0bk5OTzc3NUWxVAv9kc0bgfC/rFv9/InrxS1dMTIz3z+HXb/Z1mSydnL182bJlHh4eISEhERERGB3OebxPnTqFdkYePXo0bNgwAg+Ojo4bN26Ef+cPR0kYjIyM9u3bByGsrKyUlJQkRL8lIyMjg7z5UlRUhFKdP3r0CNvse/Xq1bJly65cuRISEpKdne3h4VFVVWVvb3/27Fl8MHEIIcv08hDCYcOGxcbGEvqaP38+4jwpKcnBwQGySaW+du1alMgdpRFFX5u9vb0tLCy6nI6GhoaBAweitLX19fXi4uJoy5KcxB5DSkoKVmJnZ5eRkUGn0/n5+cPCwtra2lpbW8lp4bdu3bpp0yYI4adPn/r374++e2Obbix3ZPCbfQiL4WLCZt+xY8c4b/Y9evQIALB+/fotf0NSUhJlemc5ERz4fP78+Y4dO0pKSnJzc/n4+GJjY+l0uqqqKhppaGhoWlpalynlWXKopaWFrt3c3GbNmsVkMtvb24WEhDIyMlgSxJCQkCAnJ4euzc3Nd+/eDSF8+vTpyJEjsdnBmrDUHDxvPTBbbW3t4OBgVA2z1iNHjiBthBC6urrOnj0bQnjmzJnJkyfT6fSWlhZBQcHy8nL8QExNTd+/f48mgiCTLtnet29fUFBQSUkJilbf0tLi4+Nz6NAh1MTY2JigWkhXs7Ozu+Rq+/btW7Zswbo+evQohPDFixeSkpIs9eHly5fz589nMpnV1dVdzt3Hjx+FhIQwKWHrDGYL5HEdOnTo9OnTmJTwOHjwoLW1NYSQwANh4N1V15aWFikpqYSEBAhhUFAQFuQdgaWc8Tp5584dAwMDdH3hwoWZM2eia319fbRz6uXlhdIP1NfXz507t6OjIyIiArNKAwMDVC0jIwPb7MOrHAaskN3qikCeMghhamqqlJTUuXPnsDwKePU7ePDg+PHjGQxGTU3N3bt3UUR4X1/fJUuWsOQf3xYPzvcyLvn/M9GboUeMjIw47Blxg26FZ+0VoA+8HJKls8xeHhoaqqqqGhoaitHpMo/358+fAQDobYYbCAkJqaqqAgDk5ORmzJiRlpa2ZMkSdpU7OjrOnTuHvglhYDAY3t7e7u7uDQ0NaAOioaGhf//+RkZGKGm8mJjYhg0bTp06ZWJi4uLiYmtri+0XILBML29qakpmoK2tLS0tDYV9MjAwMDAw4JBKHcUglpWV5ePjQzHfJCUlkbQ5T0d5ebmAgAAKBzVgwAADA4MnT55MnjyZnMQeQ2ho6Lhx49D1tWvX0AU/P//IkSNR2DNyWnh7e/spU6acPXu2sLCwX79+YWFh+vr6w4cP5zBZvQgvLy9sKyQmJgZdsJwIDnxGR0dTKBT0ch8UFDR06FB+fn4HBwc/P78FCxZkZGQsWrQoKioKckwp3yWrSkpKFApFREREXl4eZTsgE8SAD80vKCgoLy8PWCW6BwCw0xw8b2jDortmS2YmPDzczs4OXZubm3t5edFoNEFBQRkZGX5+fnFx8X79+v348QNxi7B27VpTU1NXV1fsww/3bMfExCC3RWFh4Xv37jEYjPv37+/duxc1Icc/5OfnxyKmcuaKgMGDBwMAVFVV0X4fWR+UlZULCwuNjY19fHzGjRvHUhlYgmWGdfK4Fi9ebGxs/PHjR0IKRbzwJ0+ejOeBMPAeqKuDg8OJEydMTEzevn17+vRpPEGWcuYmXQQ23uDg4Fu3bgEABgwY0Cue2pxXV/KUAQAmTpy4bt2627dvv3//nkxQWFhYTU2Nj49PRkZm+fLlCxcufPToUVZWFtJ/7vnv8l7GDf9/JnrzcUpcXPwfz2fci4AQAjbZy2fOnPn48WNfX9/NmzdzQ2rDhg3x8fHHjx9vaWlBH8O7BQEBATk5OQ58+vj4nDp1CiVbwNDY2PjmzZs5c+YAABoaGsrLy2fNmhUZGSkrK4v2/p49e2ZkZJSUlNTc3Lx06VLwv447oDvp5RsbG6uqqlpaWtCjEoSwu6nUYVdeZYhmTU0NnU5HfEpJSZHTsxBAOJWDiOBLyGnhx4wZM3LkyNDQ0Pfv3586derq1atFRUVbtmzh3FGfguVEcOATnTYgpIu3s7P766+/Xr9+jZbmHqSU54zeIthdzSGAg9my7AsTrJSUFLp/cKa/atWqwYMH29vbP3369MWLF91iu7GxUVNT08DAAP3Z3t5eXV39C1xPyPogLCz87t07Z2dnfX390NDQn5w78rhGjx6dnp6+YcOG8ePHJycno8c7Agg8ELYFe6CuO3bsUFFRefnypZKSEuGnn5dzfX19cXGxhoYG+rPL9apLcF5dWZowAEBUVLS8vPz+/fu2trYciGdlZR0/fvzq1au1tbXfvn379fz/mehl36l/OwhKxjJ7OQBAQkLi4cOHrq6ur1+/JjSErPJ419XVzZ07d+/evZ6entOnTyd0Ki0tjXavkd5j7pxY85SUFJRQliUuXrxoa2s7YMAAGo12//59KpXa0NDw+fNnaWnpt3/j9OnTEydOfPv2raysLGrFYDDu3r27atWq+vr6yZMnUyiUgoICQpIWdunl0YdNfE0FBQVVVVVnZ2cmk0mj0by9vdmlUucscM6/6unpSUlJRUdHoz8LCgoWLlyIr0b2MJsyZcqVK1e+fPkCAEhKSsI2+LEm5LTwAAB7e/u9e/eamJgsWrQIbTJKSkpy4JMF54DtuBgMBnrpJAD1jnfmRVnYAPuJYMfnpEmTzp07V1RUBADIzMxEjg5SUlJLly61s7NDE9FlSnlyfniWie6xC3YECWQBm/nClIqD5rDTFm7MFs88Vn/hwoWPHz9G1zk5OZaWlnx8fCxNGMOtW7fMzMwyMjIKCwtLSkowstywPXHiRBcXF+QpfPfu3ZKSkokTJ6ItGABAe3s72c2Z88KCgeXUYBNE1ofo6OjW1lYfH58TJ04EBQV1a+7Is0Ae161bt1RVVWNjYydPnox/6MRTI/BAoNlddQUAyMjIbN68eenSpeRHDZZyZjculuVGRkYHDx5saGgAANy8ebO6ulpKSqq+vh6da/nx4wfBDR+QJoVQyM6oEVia8IMHD6ZNm3blyhUHBwfkLEHoAuP89OnTQ4cORb8ibSHzz5I90JXKccn/H4qf2yv8d6PLZOn19fWE7OUvX77U0NCYM2fO9+/fN27c2K9fv6tXr759+5ZzHu/g4GBxcXF1dXUdHZ01a9YUFBTg2cjLy1NVVZ02bdrp06fl5OTQvv7UqVOnT59++fJl5EHJbgju7u742UQ+hqdPnx4zZgy+WkREBOY7hXDx4kXkXtDY2Lhy5Up/f3+W7lmE9PIQwqioKGFh4a1bt2LnpRGSkpIUFRWlpKQMDAwKCwshm1TqY8aMMTY2/v79O1pAXVxcUBCjQYMGffjwgfN0tLa2vnr1yszMLDg4+PTp04hhlknsMa4YDMaaNWsEBASGDh167NgxCOHt27cBALt27UI+AeS08BDC1tZWIyMjFG9w586dyFcGQpiSkqKoqDhz5szi4mL82Am+U4kwcQgcMhPO/Aw/Y4WY79T79+/5+PjwARGQDqDNXDc3t7q6OjqdfufOHQEBgVGjRr19+5blRHDgk0ajLV68WFBQUFNTE0UfQMjMzNy6dSv2J+eU8uT88HV1dYMGDbK3t3/16pWxsbG6unp2dnZMTAyFQtmxYwedTicQxBo2NDS4uLgICAg8fvw4NzdXVVXV3Ny8srISxR+Kjo7OzMwcPXq0kZFRZmYmS83B89YDs62urvb09FRXV7927dq7d+8wa6XRaBs2bHB0dAwPD3dycqqrq2toaJg3b96wYcM+f/6M9kT27t2LJIwwa9YsX1/f+Ph45LWDySQ3N5cz2xDC4uLiMWPGSEhIjB07Fmnv9+/fx40bZ2RkZG9vP2nSJCsrq4qKCtQRk8lETtAHDhwoLy/nzFVcXJycnJyHhwfyB7KwsKiurt63bx8AICQkhKwPkZGRlpaWcXFxhw8fTkpKIisDRplOpyM6gYGBxcXFBgYGGhoaX79+xdsCeVwuLi4uLi4JCQnbt2/Hq3pRUdGsWbNGjhyZnp5O5oGAbqkrQmlp6dy5c8mkyHLOzc3FdLKkpMTW1lZGRubZs2c1NTXz58+Xl5dPT09PSUmRlpZevHhxfX19eXm5np6esLDwqFGjoqOjIYQMBsPQ0FBXV3fz5s3Tp09ftWpVWVnZzp07AQD379+HEGIqh+cEX8jSqBHIUxYbG2tkZNTa2trY2Dh8+HBDQ8Pi4mJM/RISEkxMTJSVldGqfu3atQEDBqxbt+7UqVOSkpLI65zAP151sX7x1sHyXsYl/38m/ujHKW7AZDLRAWyUfLtnRG7cuPHhw4e8vLz09PTY2FjkKIoHg8FAfnxYwI+pU6deuXKltra2B6G8UFwAznWQ2ziX1Orq6risXFNTQyhpbGzs7OzksjmX6O6RhebmZg5zh9088HeRtrY2wgUHkF3RycC7ovfMZ5PlRHDgs7GxkTxqQkQZ9C2TZXdUKhV5ExOac55NDgS7i5/RHJZmi0rI6Ojo4H5GUIgNfH2CTLpku6amhmDUtbW1TCbzJ0NhsRsdnjFMFIgBgrX+5Nzhx4WCF3BeN1jyQAD36oqQkJAQHh7O7tefl3NdXR1h7hA/7GiynBR8IefVlaUJE8DOJDEVRfukCAT+uzRnluCe/z8NvJx9fY62trZhw4YlJSUhN+G0tLT6+noUqoADzMzMbGxsNm3a9Et45OGnMHbs2Dlz5qBYqeT4UjU1NZmZmefPn1dTUyN4yP7O4OWH5+FfhKdPn3Z0dISHh1+5cqXLGG888NAX4D1O/QpcvnwZfXLX0NBYtWoVOToUAeh4/5gxYw4cOIA8W3n4ndHQ0IDC3LF8+Ojs7ERusGJiYl36zvPAAw89gIuLy4sXL65fv06OLcwDD78GvMcpHnjggQceeOCBh58C76MoDzzwwAMPPPDAw0+B9zjV5yBkTeou4N/R0n9bkAfIzZB/Uiw/A85d43/99UxyzghGBsvsQ9wPkMsmvQsu2esxSz0Y/n8M7HJS9Tp6cY5oNNrvuVXyb1SYPuL53yiKXwne41QfgkqlOjk5TZ06tccUHj16dOPGjUmTJj19+rQXGesBDAwMli5dumPHjsmTJy9dunTz5s1TpkwJCgpiOcANGzYcP36cM0F1dfU3b970Gb896bqoqMjKymrjxo0AgNevX0+YMOHu3bu/jKvc3FwvLy9bW9sDBw5w2eTWrVuKioqE4DF37tyZO3cuy/osFRI/6l+AoqIiaWlplm8IeE44VOOA4uLi+fPnHzp0iOWvr1690tLSIoRB+u+BpVb0BThoWpfA22Btbe3Ro0cjIyN/h4UOj59fwH893r17p62tjQXn6y2UlZVZWFi4urr2Ltn/GHiPU32C2travLw8YWFhIyOjHq9rdDp99+7ddnZ2UVFRkyZN6l0OAQAsg0myg7q6emBgoLe3d05OzvTp0319fS9evFhZWclygB4eHvb29pwJ9tGguAG7rocOHaqtrY2cyo2MjPr378/N6zKa65/nytnZedq0aXfv3l29ejWXTRYuXFhZWUkoXLx4MSHdEAaWCokf9S+AqqrqmzdvUDYhAvCccKjGmbiSkhK7d+gpU6b8Dq/XvaUw7MBSK/oCHDSNJSCEqamp6Bpvg05OTrNnz168eHFYWNhvdfLmJxfwfwQTJ05kmQiox0C3CUVFxSFDhvwO5vM7g/c4BQAAKJAG9ifacEGhm7ik0NHRgSUwp9Fotra2paWlAJe2hdAFk8lsbm7G/kSxQFBYYQzl5eXoRBgKj0luBQBAUUNQ14jtjo4O7FM/oTKVSsX2kp4/f75//348/xwGy2QyXVxcCIXa2tpTp05lOUAlJSWUbQaBZUYIDQ0NfI/s8lpQqVSCWPA1sZkicEsYOIqOza5rfGUhISGW1+yAn2vwd0xzAsME4MOv45GVlSUkJCQqKooCanCeawRM+PiZFRcXx+dcgxCixG2EJvj54makCHQ6Hf/FqAfyp1AoePlDCPHNMU4I1cgg94LS87HLEtPW1oalJ8KAgkTj0d7e3uVeIYPBQOGLUAnhdkvQWMJiQlAYwEVGF4LM2XGF0WGpFQSQRceuCwJ7ePkQNI0wcDqdjnIkYDwcPnwYyxaHn9z4+HiUGE5eXl5GRobloAiDxa+WZE0gtCKvIYTVmGBZLIVJaIIBjY6sA3jJc2MmhEFxXpA5A/EMISRwRVh5CKMmSwkAUFpaamlpiScLAMCvJ+wa/pn40x+n8vPzHRwc3rx5M23atC9fvjCZzL/++mv8+PHe3t5z5szR1dUFANy8eVNERCQ4OBgA8PXr1+nTp+OTqra3tzs6OoaFhXl4eKxYsaKtre3jx48ZGRmhoaEoBU1nZ+fhw4fnz5+vpaWF1O7x48cnT57csWOHubk5jUa7c+eOkpKSv7//4MGD4+LiENny8vLLly+3tbX5+Pi8ffsWAHD27Fk/P7/79+/PmDGjoKCgtLTUyspqw4YNFhYW06dP9/LyGjFixM2bN9etWzds2LD4+HhXV1ddXd0jR44AADo6OtatW/f69eu1a9fev3+fyWSiGMc+Pj40Gm3fvn2JiYlOTk4olQEZfHx8mpqa5HJ0JpkwwOLiYktLy927dwMA3r9/f/LkyaioqBUrVuAbvnnzZty4cSi/B7s6AIDz5897e3vPmzfP09OTULOjo2PXrl2TJ0/es2ePiYmJmpoaSshAkC0A4Nq1a/7+/mfOnLGysqLT6fiuw8PDjx49Ghsba2xszO6uVlVVpa+vP3XqVBRSde3atZGRkdiv2FzHxcW5uroaGhoeOHBAWlr63bt3MjIyL168KC8vX7RoEcp60draun///osXL+rq6hK+xl+6dKm6uvru3bsorzbnuSZwePfu3eXLlysoKHz69Km5uXnv3r1YJI7379/b29sHBQWNHj1627ZtGRkZLBUSgcFgrF+/XlZWFn07uXr1KopajuHGjRsPHz68evXqoUOHeiz/69evKykpodwUhw8fRp88t27dShgUVo1Kpc6dO9ff3//EiRMiIiJIbuRe0OfSGzdukPfyOjs79+zZ8+jRoyNHjpSXl6PC2NjY/fv3P336dNasWWiDiU6n//XXX6GhoRs2bDh27FhlZaWhoeGhQ4eoVKq7uztKAxcXF6eoqHjp0qVdu3YNHz48JCTE09NzwYIF2KTgNZblYoJfHBobG9Hx/gULFhBuUSxlzpIlsoTJWoEnSNZ5fBf4mgTDJMiHoGkEUw0PD5eTk7t27dry5cuVlZVLSkqqqqqio6NTU1ODgoLwNnj79u3S0tJr166dPXtWX18fy0jNclAAAMJqSdAEskgJjBEWfLJlkftlZy8/fvyYP3/+smXLVq9ePWrUqLlz59JoNMJKy6WZEAbV5YJ8+/ZtYWHhtLS0Dx8+yMrKurm5MZnMzMzM2bNno4ew5OTk9evXq6qq3rx5E5BWHvKoCVLCEB8fX1ZW5uPjg9guLy/fsWPHxIkT165dy3Le/3T0dZzQ3xw3btzw9PSEELq4uBw4cABC+ObNGykpqebmZiaTKS0tjTKWGBgYXLx4EUL44sWLsLAwPAV3d3cXFxd0jXaXIYTq6uovXryAEEZERKiqqqKI1fLy8i9evKioqFiwYEFJSUlJScnAgQMDAwPRW0tSUhIhnnJ2drakpCS6jo+Pnzx5Mrr29vbW19eHEDo5OU2fPh1CWFNTk5ubKyAggF6hzMzMEEtv374dPnw4IoVyL8TExBgbG0MI79+/jy7a29tHjBjR1tZGo9FevXrVpcQkJSWvXLmC/UkeIGJsy5YtSKr+/v6IfwIdXV3d4OBgDnUiIyPd3NxKSkpevHhBoVDKysoINcPDwxUUFFDXCxcuXLFiBVm2iYmJy5cvhxDSaLSFCxeicOpY1+vWrUOkUGYxCOGxY8dWrVqFGJg5c+aNGzcghLGxsQoKCshVdseOHYSBYHMdFRUlJSXV1NSEAj1raWnFxsZCCC9cuLB48WII4e7duyMjI0tKSo4ePTpy5EgCHTk5uYyMDMjFXGNN0NstUlEbGxukwFFRUVpaWqiCmZlZZGQkhHD27NkXLlxgN1/YqOvr6yUkJD59+gQhPHLkCCETjp6eHkro8TPyR9qOKI8bN66xsbGjo4NCodDpdDwnWLX29naUlGnFihVWVlYQQnIv7969W7hwIWLSxsbGzc0Nz/apU6fOnj0LIWQwGAoKCrGxsbW1tbKysigI/ocPHyQlJVEWGqRdOTk5iIctW7YgUh8/fpSWlkbUFBQUnj17BiE8fPiwnp4eStkmJib248cPssayXEwwhYmJibG1tYUQZmRksAstTZA5mSWyhFlqBQayzhO6wEAwN7J8ME0jD5zJZAoJCaHUMRYWFn5+fhDCjRs3YsxgNgghFBISKioqghCeOXPG2tqa5aAwrvCr5Y8fPwiaQBApmTHygo+3LHK/LO0Fw65duywsLCCETU1NSkpK165dI6+03JgJflDNzc1dLshMJnP48OFoXrZu3YpuOq9fv46JiYEQTpgwAQncz88P8UBeefCjJksJ6wi9fqBrR0dHGxsbpAB8fHydnZ0cGv6Z+NO/Tq1Zs2br1q2hoaH5+flIpwUFBUVFRSUkJCgUiry8fElJCQBgz549Z8+eZTKZcXFxBO/LJ0+eTJgwAV3PnTs3JiaG0IW0tDRKta2iotLQ0PDmzRsIYUpKSkpKiq+v79ixY9EGh7q6uqSkJLutiqioKCzB5Jw5c5KTk5uamoSEhJCrgYyMjKCgIB8fn7i4OABAQUEBxZOUlJREWWw1NDQeP3785MmTlJQUwjdnERERHR2d8ePHJyUlGRkZ9UCGhAEC3JaNlZXVnj170AsNoVWXdZ4+fcpkMlNSUmpqah48eCAkJESoKSgoKCsri7petmxZeno6WbaPHj0yMzNDlcPCwtCeAtb11atXVVRUHj582NjYSBALHtOnT5eTkwsKCiorK0M7cSwhJCSkoKDQr18//IYFHs+ePWtoaEhJSVFTUzt69Cg7Ol3ONaE++koxZMgQgvABABQK5fPnzwAAlMMRFZLnC8OAAQPs7OzOnDkDAGhqaiJEJV29erWenp6fn5+pqSnoqfzx7GVkZHz+/Bk98BH2C7BqIiIiw4YNe/r06ZMnTy5evAgAIPcSHBw8duxYVJ8snwcPHowbNw4AwMfHhzbNk5OTZWRk+vXrBwDQ1tYWFxdPTk5++PAhcjoeOXLkrVu32M2OoKAgaqigoCAtLU2hUPj4+CQkJGpqasgay3IxwWBoaJiamjpnzpz+/fsjxsggyJwMlhoOSFqBgazz7LogmBtZPtgckQdOoVAEBATk5OQAAIqKit+/fyewzXJ/GXP6YTcorCFaLVNTUwmaQBApmTHygo+3LJb9crAXQUFBFRUVAEC/fv3Mzc3fv39PXmm5MRP8oCQkJLpckCkUytq1a2/cuAEAoNFod+/ehRDGx8djyTYIs09eefCjJkuJZad4siiJE/cN/xCwvnn/OXj//r2vr++lS5fev3/PYQN4wYIFzs7Ojx49EhYWJrjHUiiUiooKdI0ZHgc0NTUJCAhYWVmhP7v0nGDZCx8fH5e6i26ijY2Na9as8fPzExISCg8PJ9QJCAg4efLk/PnzL168yL0fNDfQ1dVNTk5eu3atvr5+amoqS+Gwq9PU1KSmpoYXFKEmngg/Pz/63kCQbX19Pd4tF0KI99O8fv16fX397t27z5w5Azl6KuzZs+fUqVONjY1Lly7tkST+f0Ta2tpjxoxBnHR0dIiIiJCr9XiuyTh79qy9vf3AgQOpVOq6deu4aeLo6KilpWVtba2np0f4adOmTUpKSps3b3737t21a9fwP3Evf3yrjRs3rl69euHCheSf8Ghpadm4cePZs2fR7ZncS01NjaSkJLvmNTU1hK00CoWC5wqZLWIVPS4T9IQbQAjJGsu5iYSExPv377dt2zZhwoTExESkGARwkDkCZwmTQdZ5dl0QzI2DfLo78C7B2Wzx/RI0QVRUFC9SMmOcF/zuChMPZAKcV1p2ZkKoxs2CvGbNGk1NzXfv3hkaGn769Ck8PFxMTIxddh3yykP4tWfT1+vz/m/Hn/516vTp0xoaGkJCQpibHvxfh3F0wcfH5+LiYm9vP2/ePAIFc3PziIgIdJ2Tk4Mc90RFRTE3QIwIcuHU1dWNiop69eoVAKCwsDAkJAT9SjZdfIm5uXl8fDzS15ycnLlz56I7MTuDJ5Q/ePCARqMNGjQIGybGYU1NzbNnz/bu3RsYGHj//n0AQG1tbW5uLjuJoTz2hBL8APG93717V1NTMykpSUxMLCsriyWH7OpMnDjx1KlTVVVVAIDIyMgvX76Qa2Jdv3r1ysrKiizbKVOmXLx4sbi4GAAQGhqK3pKxrvfv329iYgLYu4djsLGxaWhoSE9Pl5WVJfyEn2u8ZAYMGIA+DX7//h35+erq6rq6uiKf03PnzhEO02FtuzvXiHOy8AEAubm5Fy5csLOz8/b2xvLbkOcLjyFDhixatGjnzp1kVb979665uXlGRsajR48IpLiXP8ZeXl5eUFCQnp4ekh5B/vhRuLq6ampqrlq1CgDw8uVLci+6urqPHz9GEuvo6CD4X+vo6CDFxn41MDAAAKCD+qhEX1/fyMjowIEDyNXa19eXwWBgM1hSUsLSU5swI2SNZbmYYAoTHh5OoVBu375tZ2f35MkTBoPx4sULglYQZE5miaWGA5JWYCDrPHlasa7x5kaWDzY68sDxwiEPnCA67BrtmHAYFKEJWRMIIiUzRl7w8Qyw7JezvWC/vnnzZtGiReSVFnBhJng2yAtyXl5eQUEBoV8lJSVDQ0MHBwdbW1s7O7sNGzZYW1sTuMIYZrnycJ4+bMoAztGeQJZDwz8Uvblz2H1UVFT8swxcunRJRkZm69atLi4uKioqSUlJe/bsERISev369du3b4WEhLZt24a8Omg0mpGREZlCe3v7ypUrDx06FBISsm/fPuRh4+rqOm7cuMDAwA0bNqCthOTkZAkJifXr19NotAMHDggICKipqdnb29Pp9CtXrgAAPDw80PEfhKamJg8PDwqFEhISgk55nDlzZsWKFeHh4Xv27CkrKysuLtbX19fS0kpLS2MwGMgTMDo6Ojc3d+TIkWZmZj9+/Dh06BCFQnnx4sW7d++kpKSsrKz8/PzExMSuXr1aXl4uJyfn6Oj46dMnPT29yMhIb29vlIzd09PTzMyMPNKWlhZfX18AwKxZszIzM9HYyQP8+vWrqamprq5uTk7Ozp07Dx8+nJCQsH37diqVipF6+/atnJzc6tWra2tr2dVpb2+fO3eusLDw6NGjkSsAoWZ0dLSUlNTRo0f9/f137dqF3M4Isu3s7LSxsREUFFRTU7t//z6ha1tb2xEjRhw4cGDhwoVTpkxJSUkxNjbW1NT8/PlzUlKSnJyclZVVVVUV4ufEiROhoaFksaC5DggI2LBhg6CgIJbQ/tatW4MHD7a0tNy1a9fYsWNzcnLy8vLU1dWlpKR0dXWRWwmG8PBwfn7+/fv3V1ZWcp5rfKvr168DAHx8fL59+zZhwoTJkycjmUtKSiK/ivXr10tJSY0ePdrIyOjMmTPs5gsbNTY727ZtI4905syZ169fj4yM9PDwgBD2QP4MBuP27dsAgHPnzrW2tg4bNszIyMjX11dFRWX9+vWFhYWIk48fP2LVkpOTKRTK/v37r1y54u7ujtxECL1QqVRzc/MxY8asX7/e1NR03rx5paWlGNuFhYWampozZszYtm3biBEjHB0d29vbnz9/PmvWrNDQ0IMHD6LNl5KSkvHjx4uLi+vo6Hz48AFCmJWVpaKiMnv2bC8vLxkZmcjIyPj4eH5+fnd398rKSktLS3l5+fT09Pj4eAqFcvTo0ebmZoLGslxMkMKEhoaGhIQsX748Pj7e2dm5oKAgOzubQqGghuxkTmaJrOFkrSgvL8cIEnS+rKyM0AUGgrkR5FNfX49pGtlUkQ+1l5dXSUnJ6NGjjY2Nq6urIyMjFRUVz5w58+bNG8wGw8LC0OpXUVExe/bsYcOGZWdnkweFgbBaEjSBIFIyY4QF/+HDh3jLIvTL0l7QCo/g7Oysra3t4+Pj6emJ6JNXWm7MBD+o6upqwoJsa2srLy9PtsfQ0NATJ05ACJuampBbIYQwNTVVWlp61apV1dXVq1atkpKSev/+PWHlIawnZCnhoa+vb2FhERMTo6enN2HChG/fvqE99xs3bnBu+AfiH36cevfu3T/LAISwubkZXSDXVHb48eMHcuZlidbW1vb2dnwJ8gpnh7a2Nqxf7kGn0xsaGrrbCusRPRdiw0QvmhBCJpNZX1+PfoUQMhgM5Dj582AwGJ2dnZx55lynvr4eW78INaOjo7W1tTs6OgiSJMu2sbERvwjigWrS6XT8syxLuLu745/28GA31y0tLehmjy+sqalBX/g442fmGoFGox0/fryiouLz589v37719PTMzc3lpmFAQAB6niAAKQYmqJ+XP4PBQNQw5eQe5F5QImr07kEGcmcm/Ir3ccZK8LPT2dnZ1taGFI9LxvAayw5IYVDABTwPX79+RZ5kGAgyZ8cSBw0ng6Dz5C6wrsmGSZAPHtwPnEtwOSi8JpBFSmasywWfe2E6Oztv376dcISIsNJybyYYyAvyuXPnWFbD1hZuVmzOKw+76UNhIziQ5Wbe/xD8k75TVCq1sLAQnR/+B4FFSEIepmRkZWXl5OS8ePHixIkT7IhgOykYkFc4O3TpYsUS/Pz8/fv370FDfI/YMDHHHQqFMmDAAKwmHx9fz9gjg4+Pj4+PjzPPnOsQGMPXZDKZdDpdWFhYWFgY34TMPAfHGjT7/Pz85BlEgBDeunVLVFRUSkqKnQ8Tu7lG5fz8/PhCdo7qBPzMXCPExsbGx8dv3bp10KBBtbW1nz59UlRU5NwkOjq6s7MzOTkZRXYggKAYPy9/Pj4+JPYe6Bu5CRIXQdoYkFsxgVW8jzPLEgEBAXQ6hJ1XChl4jWUHpBiIJr7Hz58/W1hY4GuSjZElSxw0nAyCzrOzd5aGSZYYBu4HziW4HBSeebJIyYx1ueBzL0xkAoT6hJWWezPBQFiQv3z5MmfOHJbVsBWJGwvivPKwmz4+Pj6WLp5dNvwD0ZuPU3fu3GEXPYUl/i0hVr98+XL06FEvL69urVk89ClaW1tjYmLQlh/Ltaa3QKfTb968qaioiM7R/ItgYmISHx9vZmamoKAwatQoZ2fnLm9msbGxb9++vXfvXpfEf5n8/ygsWrTon2aBB25RXFz8+fNnGo2WmZmJjo6S0StmgsL78fD7gwJ7L+vk58+fsSiU3GP79u29xQAPPPDAAw888MDDr0dvfp3S1NRMS0uTlZUdMWJEl8eMIYR1dXXp6em9yMC/BQwGg92WRHer0Wi0vo72wWQyKRRK7+aBAr3NOZci7TF6IAQmk8n9DlHfoXenrxdVlwceeODhv4TeXO75+PgmTpw4atQodXV1ta6grq6up6enpaXViwz8KxAYGIgOKv9ktcLCwqNHj27YsGHjxo29xx0LbN682d3dvRcJtre3Hzp06Ny5c6NHj/75zLtUKtXZ2RlLdtFH6JYQbty4oays/JscG+7F6fvx40f//v05xDsFACQlJU2aNKlbmXF54IEHHv4L6F3PdgaDkZ6ezn197Gz2fx7YwfjW1tb8/Pwu63dZzdra+uXLl52dndnZ2b3D4v8CnR6HEJaWluITm/w8fH19Dx06BCHMysr6GTppaWnoYEtERASWVqV30TMhoAwbHz9+7AuWuovenT5uBjV9+nQOZ2DJwITMAw888PDvRS9vRvDx8WHZHrjBb/J1ihDOlUaj4ZMco6MZEEKsEB1UxipAUu5ulKYbK0xISEApgQEAYmJiKC8BBkI6dHI1lMQeHQLHKmRlZQkJCQkICGhoaKCSxsZGPAUU5Q9rgljCPi0QqIH/zRN+9OhRLLicoqIi3gefIByMMstRILS0tODF9eHDB7TNRwgDjejQaDQsZCKBJl7O5eXlixcvRgEbscw8ra2thPMNBJn0lhCYTCZBCK2trViwPpRhg50oOH+QQye9Ozs7sUzvgDSV5CkgKDA+HT2BcwghOSE8IKk0u4T2Wlpa+KiGhICZCIQ9XDK3eOJ4IfPAAw88/HvR+74dv4O/CPfIzMw8duxYTEwMdqbm0qVL586ds7S0RD7y8fHxSkpK3t7ee/bs0dDQuHbt2qlTp1asWDFy5Eh0Vz527NidO3du3LixZMkSAEBOTs748eP37t27Y8eOESNGXLlyhclkBgYGlpaW+vj4/PjxY9++fVhGtuTk5CNHjkRFRRkYGHz8+BHjqrm5GasWFRU1aNAgPz+/1atXKykpffjwAQDg5+dXWVkZFBR09+5dAEBCQoKrq+vTp0/nzZuHos/t379//PjxXl5eUlJSr1+/NjQ03LZt2+HDh6dMmeLg4HDv3j17e/shQ4a8f/8eAPDkyRMUr8/IyKimpgblfs/MzLx582ZxcbG1tfWmTZsAAFQq1cnJKSQkxNvbG+UHraurs7W1tbKy+uuvvwwMDJYtW0YQ7/fv37dv3/706VN7e3snJycIYURERHp6+uvXr318fPDbRqdPn1ZWVkaMqaioPHv27K+//po+fbqNjQ2qQJBzQkLC9+/f/f390Z4ag8E4fvz44sWLVVVVUdjo3Nzcffv2eXt7jx07NisrKz8/v1eEAAC4devWpUuX/P39Z8+e3dLSUlxcvHnz5uTk5Dlz5qBA2yzR3t7u7u5+6dIlPT29gICA9vb2AwcOCAsLZ2RkeHh4uLi4NDU13bp1S1FR8cSJE+bm5nJycihQHn4qS0tLCfrZ3Ny8Z8+ehISEpUuXFhYWAgD279+fmJjo7u5+9+5dAuc+Pj7nz58PDQ01MzND6ZY9PDw0NTX9/PwsLCzU1NTQ4xGeAn4IN2/eVFZWRqGib9++HRAQcO/evV27drEbMllhCMTxQmZHhAceeODh34F/6rPYb4L9+/d7e3tDCFGW+JiYmN27d5eUlKCnFrRxOXjw4MePH0MI/f39VVVV0QaTrq4uCrino6NTXV0NIRQXF0cptefMmbN//34IYVBQkKGhIYTw0aNHEyZMQD3GxcWpqKhACOvr60eNGoUCaZ44ceLhw4d4xrBqEEJRUdG4uDgI4aZNm/bt24cKVVRUUL7xhoYGWVlZtKFTWloqIiKSk5Pz/PlzcXHx6upqFNFu5cqVO3fuhBCi7DF5eXkQQicnp927d0MI7e3tnzx5AiGcO3duQEAAhHD79u2Ojo6YiFACeU9PTyxYtr29/YoVKyCEJ0+eNDY2ZjAYlZWVQkJChGCA06ZNQ5HEmUympqbmtWvXIISrVq0ixF+GEKJHgcbGRgihra3tsmXL4N/folCwO4Kc6+vrsZ+io6OVlJTQtba29p07d1DXeXl5JSUlq1evNjc37y0hJCUlWVpaokJbW9v8/Pw7d+64ublBCL28vDZs2IB+EhMTI+yLubi4PHz4sKSk5PLly/3790fzPnPmTBcXF6wX9KEI7QsHBASIiYk1NTXhp5Ksn3FxcSinfVFRUV5eHpVKVVVVRaKIjY3Fc/7q1SttbW3UUWBg4NChQzs7O1NTUyUkJFCoRg0NjefPn5MpYEAfyYqKiiCERkZGKNQnMhw85s6dizb7yApDJo4XMg888MDDvxd9+yWJs9fq7wD0ZcXe3h5lTY+OjqZQKCkpKbm5ucHBwShBm6CgINouUVBQkJSURHsZkpKS6CtIWlpaYWHho0ePsA0gQUHBQYMGAQAUFRUJOeQBbivk9evXGhoa6GOes7Pz4sWLWVZDBFHyVyUlJTLBlJQUcXFxFKJNUVFRU1MzNjZWWFhYRkZm4MCBKKIdfggAgIEDBwIA+vfvj4bg5+enqakZEhJSXV1N2JcBuMiHERERWMzVefPmoTwSgoKCAwcO5OPjk5OTo9PpKH8TQnt7e3x8vI6ODgCAQqHMnj07KiqK3USgxNIYk4hDcXFxPj4+9FWDLGc8+vfvj6LzqaqqNjQ0NDQ05OfnZ2ZmpqSkzJ8/38HBobeE8PDhQ5RzHgAQEBAwfPjwFStWuLi4PHr06MuXL+SGGGJiYpqbm1NSUqSlpa9evYoeTfz9/S9cuLBgwQJUB0062uS1tram0Whfv37FTyVZP/X19bOzs83MzDo6OkaMGCEkJGRsbKytrR0dHT19+nQ855GRkRMmTEDXc+fOLSoqysnJERQUFBISQqEakbqSKWAQEBDAvj2vXbt2ypQpZ86cmTp1KrshkxWGA3EeeOCBh381+vZxKiYm5uePbvUpxo4d++7du5ycHB0dnZqamsbGRpSpDYFzGFn4dz725ubmRYsWCQoKwu4E8aqrq6uoqCBQ6wEoFEplZSXm0SItLc05iC0eqNPbt2/fu3fPyspKQUGBAxsUCqWsrIz7XtD5fKyJjIwM94yRmeyWnJuamurr6y0sLNA8mpqacogZ2y0h1NXVlZeX49tmZmY6ODjMmTMHffth17CxsVFLSwtTLTRf1dXVkyZNcnFxISdghhAKCAgQMi6T9VNUVDQtLU1NTW3ixImvX78GANy8eXP79u02NjZnz57Ft8XPRb9+/fj5+dlNBzsKeNjZ2QUHB/v4+BBeA9j1iCkMN8R54IEHHv516NvHqdLS0ps3b6ampv62n6nu3LkzYsSIhISE4cOHv3nzZtKkSWfPnv3x4wcAICkpKTExkVCfcL/Mz8+/devWlClTOjs7aTQa4abIOZW6vr5+SkoKygD67du3oKAgDh0RCAJc9nU9PT1xcXEUQBVCWFZWhsLvcri1E35ydXUlJJlnyfDChQsfP36MrnNycpAPE5kfDCIiItOnTw8PD0d/Zmdno5zn5JpdckiWs7CwMIVCIaQ6B3+H2ldWVhYVFT18+DAAoLOz8+TJk2SXvp4JYcqUKf7+/mi78NmzZx8+fPDy8lJXVxcREcHnkCdj4sSJrq6uyDnJ39+/rq6uvb39zp07T58+bW1tPX/+PFYTEUlLS9PW1h4yZAi+d7J+oiS4/v7+e/fuffjwYUNDQ2Rk5M6dO6Ojo1EWYaztggULXr16hXzzCwoKtLW1hw8fjucQ9UumwBJ37tyZOXNmRkbG69evCf7+GMgKQyaOF3J+fj7+6yYPPPDAw78JfbqVGBgYWFBQ8PLlyytXrkRERBQXF3OT/PVXwsnJad++fQkJCQ4ODk1NTR0dHebm5oKCglpaWkeOHIEQvnz5UkBAYM+ePdXV1evXrxcWFn758uWHDx/k5eVXrVpVUVGhpqamp6d39uzZsWPHWlpaZmRkDBkyxNLSsrKycvPmzQICAsnJybW1tYMGDXJwcPjw4cO2bduEhYWjo6MhhOfPnxcWFlZUVLSzs8OngK2rq8OqPX36FADg6elZVlZmaGg4atSo4uLiyMhIQUFBR0fH0tJSxOT06dNDQkKOHj365MmTlpaWLVu2UCiUwMBACGFubu6oUaNmzpxZVlZ2+fJlAICXl1d5ebmZmdnYsWOLiopWrlw5ZMgQNze3FStWjBs3Ljs7OzY2Vl5e/tixY1lZWWZmZqNHj87KyqJSqevWrdu7d29YWNiePXuam5vr6urmzJkzcuTIr1+/oswkp0+fxou3pKRk5syZV65cuX79+qlTpyCEmZmZmpqaU6dO/fTpE1aNyWQeP34cABAaGlpcXDxp0iRtbW20nwUAOH/+fFtbG0HOLS0tU6dOnTNnzosXLzZt2oTmJTMzU1FRccGCBY2NjU+ePBkwYICSkpKRkVFBQUFvCYFOpy9fvlxAQGDYsGE+Pj4QwsuXL0tJSW3cuNHT03PgwIERERG3bt0CALi5ueFThxYUFGhqakpKSo4fPz4qKqqurm7JkiVBQUEQwqNHjwoJCT148AD+/R3u1q1b9vb2eXl5hKkk62dYWJiNjU1cXNy+ffsyMjLq6+t1dXXDwsL8/Pzu3LmTm5uLcQ4h9PHxsba2Dg8Pd3Z2RumQXV1d+fn54+LiPnz4ICMjY2Nj8+PHDzwF/Bxdv34dAHD06FEqlTpz5szLly8/e/Zsz549+BlPTk6Wl5efP39+aWkpWWEI7EEIMSG3tbXNmzePQI0HHnjg4d+C3kwyQ0Z5eTnyU2EwGEVFRV++fKmvr9fS0tLS0upWLsy+A3q8a2pqkpKSwgobGxtFREQIGSvZAULY1tYmLi5OpVLxOSkJoFKpAgIC5FDRnZ2d7e3tvZINsK6ujkOCUs5obm7u168fhLC1tRU5IbW2trKco46ODiaTyS5hMEs0NjZKSEj8ZJhsspwhhB0dHRxyf6LE7FymHAbdEUJzc7OwsDA21y0tLag+osChi9raWikpKQ6nXykUyvfv38XFxTlMJV4/Uez12tpabJhIn8XExJA7GgFMJrOpqYlz1lLOFDA6NBqNTqdjCWXZgaAwZOKYkNvb24WFhf9dR4N54IEHHhD69nGKjNbW1uzs7JycnAEDBowZM0ZFRaXXs5fwwMO/FEwmk5+fv6ioSFVV9Z/mhQceeOCBh27gV78ICgkJiYqKCgoKFhYWPn78+Pbt2+jEOw888HDz5k0VFZWgoCCeUfDAAw88/LvQt1+n8Hsl1dXVHz9+zM3NRd64/Pz8I0aM0NbWRruBPPDAAw888MADD/9SsE6F0VtISkoyNDQsKir69OkTdmanX79+Y8aMGTVqFAevFx544IEHHnjggYd/C/r2cSonJycnJwf7U0VFZezYsaqqqv9efykGg9GlSzWTyUQhl34NS3hww16P63eX+H8SLIXwR0nm9xns78MJD70CdK7iJ4n0hVb8Sk3jsq8es0RuSKPR2J2g4plYt9C3j1MIgoKCo0aN0tbW5nye6NeDRqNdvXr12rVrQ4cOHTlyJACgvr7+w4cPSUlJLOsHBgb6+PigYIkcsHnzZllZWU9Pz55x1dzcfODAATExMTExsR8/fsyaNcvCwoKbhlyyh5CUlLRr167Vq1dv3bqV8FNCQsKlS5dkZGTk5OS+f/9eWFjo7+9/7dq1xMTElJSU7g6n15GQkHD48GE6nW5gYNDa2ioiIuLo6PhrtozZSVhLS+vixYs9DvMNIbxz5868efNkZGQghBcuXCgoKJCVlW1oaBg4cOCePXuwFa2oqOjgwYPCwsJycnK1tbU1NTXm5uaTJk3y9PTMzs42MTGhUCjNzc2bNm1CAdDfvn3b3t5uamr6E4Mm4icH2yugUqnu7u69opB37969fPny6NGjGxoa8vLyDA0Na2trc3JyEhISujy0+GvQuyqBR3x8/MmTJ1etWjV+/HgNTY3D4PBlcFkQCB4Ch9aANXQ6PSQkJCUlpa2tzd/fv0/HeOPGDXd395iYmNGjR/eYSFpa2pYtW7Zu3bp69epe5K1b6+rPoKOjw9PTMzw8PCsri0O1oqKivXv3ouApPegFb7+FhYWBgYEo9QJ5in/8+KGhoVFZWfmbHMP/F6BPwzBcuHAhKSkJJZD/PdHZ2SkkJIRSjCHs3buXXeXW1tb8/Hx2v7558wZdlJaWogx6PUBTU9Pw4cNv3LiB/qTRaDo6OocOHeLQBKV465I9MqZPn44fOMKlS5dGjBjx7ds39Gd1dbW2tvanT58iIiK0tLS4J849MLlxj4ULF86ZMwddOzs7Dxw4ECX762vgJdzQ0PD582d0nZOTgzI59gxubm6YwJcsWbJmzRosPNu2bdumTZuGEvy9f/9+wIAB8fHx6KfOzs7Vq1ej2Ffnzp0TFRVF5Sj5D6YVt2/fTk1N7TFvZPzkYHsLvaWQHh4e2dnZEMIbN27w8fGhwj179lRUVPw88e4CmzU8el0lMAQHBy9evBhd34K3HsKHjbDRB/pQICUbZqPyuLg4Y2PjXh4nCUwmU0hIiJDmkiVYigiDsbExtngSgDdYbtDjdfVn8OLFCyxVKwccOXIEm7juAm+/1tbWL1++7OzsRCZABjczwgOGvj3ZN378eAMDAy4DOP0jEBAQwKfaYDAYe/bsYVdZTEwM5VNDQI+J6Pro0aMhISHoWlFREYsjxWAwGAwGnU7v6OjAk2pqaoKsDgH89ddfgoKC2NuVoKDg6dOnDx8+nJ2djagxmczOzk6UKxcAkJCQsHv3bpbsAQCam5vxf9JoNKwh+N+0gAgFBQWOjo4nTpzA6AwcOPDUqVOtra0CAv//IbO1tZWQsKWpqQn/J8pGh423tbWVECu8o6MD1QH/Kzfwd1AiArXOzk5Cj+Li4the6vz582tqar58+YL92tLSQkhthO8REwU5vx4hujd57jAJd3Z2Llu2DKVtBgCMHDkSv7dLJo7EjoX/xgM96yCyERERDx8+9PT0xKgdOXIkNTX1+vXrDAZj2bJlK1aswDIGCggInD9/HmkRXiCzZs3i5+fHAvovX778+PHjLHPsEASFmGxrayNUJogFP1iWTciTiLcUdmhvb+dcAQCAT9fIQSExkHWP3MuCBQs0NDQIhQ4ODmJiYl0OhMFgoIM1GAiyItgCwQDB/2om3pYx9IVKsIQKUFkMFksCya1g60gw8iv4isq52X1jFxYfD3KqTbz6USgUbEIJwE8iSxEhtLe3d3Z24ongp49gsICVkbKbC/y6ym49b2trI6ww7IYA/rYawuIMAGhqamInBEJ9wtLdpZ7j/8Tbb1ZWlpCQkICAANkEELS0tDDK7NjmZvb/EPTt45ShoWGf0u91xMbGohtzVlaWhoaGtbV1ZWWlvr5+cnJyc3Pzvn37xo8fj2ru378/MTHR3d397t27VVVV0dHRmZmZN2/eLC4utra23rRpEwAgKipq0KBBfn5+q1evVlJS+vDhAwCgubl59erVERERJiYm1tbW165dwzMQHh6up6eHvzdPnDiRwWBERUXdunVLUVHxxIkT5ubmcnJyN27cYDKZgYGBpaWlPj4+P378wLOXnJx85MiRqKgoAwODjx8/0mi0devWJSYmOjg4XLhwgcPwOzo6Zs2ahS+cMWMGyg/NYDCOHz++ePFiVVVVlDb4yZMnhw8fTkhIMDIyqqmpKS0ttbGxWbVq1fLly7W1tYuLizdv3pycnDxnzpw3b94gCocPHw4ODt65c+fu3bvxckPiOn78uKurq6mpaVNTU1pamo6Ozl9//WVkZLR582Z2PEdGRg4cOFBTUxMA0N7e7u7ufunSJT09vYCAAHKPAAAqlerk5BQSEuLt7b1w4UKUX/njx4/r169/9OjRmDFjNm7cGB8fT547vAJkZWVlZGRERkbGxsYmJyfr6Oig7sjEc3Jyxo8fv3fv3h07dowYMeLKlSsE/g8cODB37lx0/fjxYxUVFSUlJezXfv36aWhoPHr0KC8v7+vXryh9EAZJScktW7YQCD579ozBYEyZMgX9ycfHJysri9jDQBAUhNDDw0NTU9PPz8/CwkJNTQ09JZDFgg2WXRPCJIL/tRSWM9jc3Lxnz56EhISlS5cWFhZ++vRJVlY2IiKipqZmzZo1xsbGqNqtW7cuXbrk7+8/e/Zs9GBKVkgMZN3LzMw8duxYTEzMokWL8DW1tbXJLKmoqCQmJnIeyO3btwMCAu7du7dr1y4AQG5u7r59+7y9vceOHZuVlUWwBbIBEjQTb8v4+1NfqARLmAJTdMEEzGpQrQ/0OVTGQBh1RUWFhYWFurp6VVWVhYUFSg8ASHNHtlOWIEwiOxHR6XQXF5fg4OBTp05hr1UEPcQbLADg0qVL586ds7S03L59O+A4F/h1leV6DgDYvXv3vXv31q5da2Zmtm/fPg5DqKurs7W1tbKy+uuvvwwMDJYtW4aqvX371snJKTw83NvbmywHwmLOgT4g6TnBuPCLlZ+fX2VlZVBQ0N27d9PT0xUVFTdt2tTR0dHS0jJv3ryMjIybN28qKyt///6dHdvk9YEbnfkv4xd/Dauvry8oKPjx48fvsF+AICkpOXXqVEdHRwcHh2HDhr169QqVJyUlycnJnT59+u3bt6gkLi4OfYmlUqmqqqrNzc0QwtjYWAjh9u3bHR0dUbX9+/evWrUKXYuKisbFxUEIN23atG/fPgihl5fX1q1bIYQ3btyYNGkSnhM6nU6hUNzd3QkcDhw4cOPGjejlAH2CDggIEBMTa2pqevTo0YQJEwjs1dfXjxo1Cm0HnDhx4uHDh3l5eVOnToUQvnv3Tk1NDdWfO3cuYbNv69atkpKSLKUUHR2tpKSEhqytrY0yhNjb2z958gSRQrfYffv26enpMZnMmpqaO3fuuLm5oSFv2LABQnjs2DFvb28IYXl5+cKFC/Fyq6qqmj17dklJSUlJibq6+pkzZyCEhoaGLi4uDAajrq4Oz8yyZctGjBixdevWSZMmbdy4MScnB5W7uLg8fPiwpKTk8uXL/fv3ZzAY5B49PT23bduG6tvb269YsQLxHxISAiFctWqVs7Mzu7nDJIyEEBERga6NjIzQFgNL4nPmzNm/fz+EMCgoyNDQkCBYaWnpHz9+oGtjY+MpU6YQKlhZWamrq6NveBkZGSxn58qVKwICAk5OTjNmzFiwYMHTp0/xv545c8bBwQFfQhZUamqqhIREQ0MDhFBDQ+P58+fsxIINltyEPIlkSyEjLi7OwsICQlhUVJSXl4dk++jRIwhhcHAwspGkpCRLS0tU39bWNj8/n6VCYiDr3v79+5EmPHv2jCUb+M0+bgZiZGT04cMHjOC0adPy8vJKSkpWr15tbm4O/9cWyAZI1ky8LWPoI5VAwG/2YXgJXzpCR+zPFy9ecNjsI4+6vr5eXl7+4sWLaM8Rspo7svpBCMXExAhbS+RJZCmi8+fPHz16FF1ra2vfuHGD5WKCGWxMTMzu3btLSkrQ81B6ejrnucBbPXlNePfu3ahRoyCERUVFfHx8SEM4DOHkyZPGxsYMBqOyslJISKi1tbWtrU1LS6utrQ31S9jsIy/miBqauC71nGxcmP1CCFVUVLD73aFDh2bNmgUhZDAY27dvhxCi721FRUUs2YZs1oc/Gb3sik6j0dLT08vLy9H3QzU1Neyntra2uLi4oqIi9Cc/P7+RkdHYsWN7l4GeYdGiRQ4ODgCA9evXY99FDQwMLC0tw8PDHR0dUQn2iVVISMjY2FhbW/vixYuEt0MAAH5zU1BQUE5ODgCgpKSUl5eHCj99+gRYvRbz8/MPGjSooqICX9jW1lZbW6usrIx6R5+dra2tV61a9fXrV3xNjL3Xr19raGigr/TOzs6o8NmzZzExMdnZ2eRNLgyysrJNTU1NTU0sk970798fOeeqqqo2NDQAAPz8/IqLi0NCQqqrqxFZERERdXV1CoUiIyOzYsUK9MD35csX9OkiODgYJb6Vl5dHuZ8xvHnzhkKhIM/iI0eOoOy8wsLCaCD4FEAI6urqO3bs0NHRWbJkCTpGAACIiYnR1NRMSUmRlpa+evVqZ2cnuceIiAjs9X3evHlr1qxB158+fbK0tBw7dmxlZSUqIc8du/MvWDlL4oKCgoMGDQIAKCoqlpSU4Bs2NDTU1dX1798f/amoqPj+/XsC8e/fvyspKQ0cOBBdjxs3jh0PHh4e+vr6ysrKBD/xAQMG4A/YshSUoKCgkJAQ4gTPJ1ks2GDJTVpaWgiTyNlSEPT19bds2WJmZubr68tu0+Hhw4fYlhZ6t87LyyMrJAay7llZWZmamn7+/PnEiRMsu8CDrI3kgaxdu3bKlCl//fXXjh07Ghoa8vPzMzMzAQDz589H5oO3BRkZGYIBcrAFPPpIJdihFbTeADf8AVeO5yxHPWDAgPPnz69ZswaLjEOeO7L6sXQIIU8iSwQGBrq7u6NrJBOWiwmG6OhoQUFB9GtwcLCsrCznucBbPcv1PD8/Hz1tk5dN8hAEBQUHDhzIx8cnJydHp9Orqqry8/MlJCRQ2CDEPx4sF3MO9Al6TjYudouYg4PDyZMnUUij2bNnAwAEBASwrV4y2yhzA3l9+JPRm5t9NBrtwYMHqampJSUlRUVF0dHR2GmI5ubm4OBg9CwlKSk5dOhQaWnply9ffv78uRcZ+HmMHTtWT0+vvLwc/dmvX7/Pnz8jR04Cbt68uX37dhsbm7Nnz3ariw0bNoiIiJw+fTooKOj8+fOEX01MTNDDFgb0xmZkZIQvhBAKCAjIysqy7KKurg7/TAYhbG5uXrx48ejRo83MzCB7LxbUy9u3b7kcy+3bt+/du2dlZaWgoEAmm5mZ6eDgMGfOHG1tbfQrmTHsGn29t/ob7G6reKipqd28edPFxSUmJgYjoqWlhRFhMpnkHikUSllZGfpTWloaec6dOnXq6dOn165dKyoqcnJy4nL4ZLAkzgGSkpKioqLYE7ypqWlRURH+eZfJZH78+HHKlCljx44VFxfnfJBNRETk4cOHr1692r9/P768vb2dkLiQLCiWBLsrFpaT2KWliIqKpqWlqampTZw4kd35qbq6Oswqwf9qDkuQdW/s2LHv3r3LycnR0dEh7Az2bCB2dnbBwcE+Pj6LFy9uamqqr6+3sLBA9U1NTQnuXGQD5GALePSRSrAEBPAiuHgWnBUEbHM14sFu1LW1tZqamocOHULVyHPHpfqRJ5ElampqCO47nBeTxsZGOTk57FcZGRku54IldHR0tm/fvm3btrNnz3p5eRFOg3IzBDL/eHDmrUs958a4EKSlpdetW+fl5fXy5cuZM2dyM/beWjb/M+jNx6n09HQmk7lgwYINGzasWbPG0NDww4cPeXl5nZ2d4eHhSGOMjY3RZ2FbW1tzc/PU1FR2bqS/BvDvT5oYsrKy7t+/DwC4devWwoULz58/b29vj/zvMFVuaGiIjIzcuXNndHQ0eq0RFRXFHI1Zmg22ZNTU1CxatGj37t0nTpyYPHkyodqxY8c+fPgQFxeHlVy8eNHS0hJ7vUN00tLStLW1hwwZwrJffX39lJQU9Jr17du3oKCgoKCglpYWZWXllpYWdosXAGDatGmzZ892dHTEO1omJiZ++/YNPwRsylxdXU1MTAAAeLIYG15eXurq6iIiItivRkZGBw8eRN/DfX19W1tbMf51dXVjY2OfPXsGAKisrLx+/TpnYaLyxYsX79y5c+nSpehNceLEia6urugtzd/fv66ujtzjwoULHz9+jOjk5OQsWbIEAJCXl+fl5bVu3boLFy6QH1LJQwNsZpwlcTIdDHx8fJqamtjNZt26dZqamseOHcMq3Lp1S1ZW1tnZecCAAQcOHDh37hz2TgwAKCwsREskJpBhw4bduXPn+PHjDx48wKpVV1ePGjUK3y9ZUCz5ZCkWDupNnkSypRQUFBC+qkZGRnZ2dvr7++/du/fhw4cAgAEDBqAnnm/fviHznDJlir+/f25uLgDg2bNnaJuGrJAYyLp3586dESNGJCQkDB8+HHmZkIeADY2bgdy5c2fmzJkZGRmvX7/u16+fqKjo4cOHAQCdnZ0nT55Er/UYQbIBcrAFPPpIJVjiPDi/CqySABIdoOMuuAvB/0w0k8mMj4/HfyVSVlYmjzo7O5tKpT548MDX1xd9VyPPHWf14zCJLEWkq6uLOWB1dHTQaDSWiwnWdtKkSWfPnv3x4wcAICkpKTExkfNccF7PqVRqv379Ll68uGvXrvXr13c5BAxoewgAMGHChLy8vIyMDIx/fDXyYs6ZPkHPycaFHw7GA4KTk9PDhw9FRUU5xJrCN+G8bP6J6MWNw4CAAIKPS1lZ2Y0bN5CHnbe3d3p6OqFJbGxsj2MK/DyoVCr6PjRx4kR3d3d3d/c1a9b069cvNTU1JiZmypQp7e3ttbW18vLyc+bMyc7O3rZtm7CwcHR0dH19va6ublhYmJ+fH3LaiI2NlZeXP3bsWFZWlpmZ2ejRo7Oysp4+fQoA8PT0LCsrMzQ0HDVqVHFx8f3798XFxTU0NHR1dTdu3FhWVkbgKicnx8LC4uTJk/fu3Vu/fv3evXsxPzMAwKZNm27dumVvb482wmtrawcNGuTg4PDhwweMPQjh+fPnhYWFFRUV7ezs6HR6enq6lJSUhYXF9evXRUREjh49mpycLC8vP3/+/NLSUoJMnJ2dx40bt2/fvtOnTx86dOjVq1cdHR2bNm0SFhZ++fJlZmamoqLiggULGhsbV65cOWTIEDc3txUrVowbN+758+fGxsbDhg1DsQ8uX74sJSW1ceNGT0/PgQMHRkRElJaW6urqioqKamtrJyYm4uXW1tbm4eEhICAwfPhwW1vb9vb25OTkQYMGzZs3r6CgAM9hQkLCkCFDBg0aFBkZCSHs7Ow0MjIaMmTI8+fPCwoKNDU1JSUlx48fHxUVBSEk90ilUtetW7d3796wsLA9e/agNXTz5s0DBgwYPXq0vr6+u7s7g8Egzx1Bwh4eHqNGjbp79+7Lly8VFBSsra0rKirIxL9+/TpkyBBLS8vKysrNmzcLCAgkJyfjh3Pt2rWLFy9ifzY0NNjZ2Tk7O9+/f3/fvn22trbl5eXYr3fu3NHU1HRwcDh79qynp+etW7eQwqDTA+hOACF0cXERERHBHOPmzp2LBWJAIAvK1dWVn58/Li7uw4cPMjIyNjY2LS0tZLHgB8uyCWESyZaycuVKSUlJGo2GMRMWFmZjYxMXF7dv3z7kCRQQEKCkpGRhYeHq6jp06NC3b9/S6fTly5cLCAgMGzbMx8eHnUJiNMm65+TktG/fvoSEBAcHB3SuFo+srCy0wXHu3Dm0iHU5kJkzZ16+fPnZs2d79uyBED558mTAgAFKSkpGRkYFBQXFxcV4WyAbIFkzMVsuLi7G89YXKoGA953aC/cCCLB/LtAFlWO+U3l5eXx8fCdOnMBTIIw6Nzd3/Pjx379/p9Pps2fPVlVVzczMJMwdS/VDTutubm7t7e0cJpGliL59+zZmzBhTU9MtW7aMHTt27dq19fX1hOmDOIPt6OgwNzcXFBTU0tI6cuQIZLVKsFxXWa7nubm50tLSw4YNGz9+/OLFi1NSUvDyIQzh/v37c+bMGTly5NevX+/duwcAOH36NITwxIkT8vLyq1atWr9+/ZAhQ9AKg4GwmBcVFZmamg4dOjQjI6NLPScYF95+IyMjBQUFHR0d8bcAW1tb5IrKZDLRY+jRo0crKipYsk1eH+Cfjd58nAoMDCQXJiQkoGcpdPMjIDMz85eF9OhdMJnMhoYG/F2hpaWFm4bXr19HuQvfv38fHR199uxZltWam5uLi4uxYDMIAIDv37/X1tbiCzs6Ouh0OpkCjUbD32DQQWJEmUCWJYqLi7kZEbozMZlMgg8mNgp8NYTa2lo8A/heOjo6fj6CVE1NDcGwCT1CCNvb29FtBkLY2dl5/Pjx8vLyL1++pKamXr58mZ3TNAHs5IMn3iWYTOamTZsIDHd2dubn5+O1C4+qqqrKykou6X/48OHw4cMsfyILisBDz8RCmESCpTCZzFOnTuHrIx4Ir1Wtra0oIAh+4pqamrg/wkLQPXS+nfC+9zMDYTAY7e3teLVnMBgcXg5ZGiBBM9nZMuxVlcDA0hWdALwr+vfv38mLPOdRYyDPHWf1QyAvIOxEhFZFfBfkxQRvsA0NDYSAiNzPBR5JSUnh4eHFxcWZmZmJiYlkj2yWayAZ6EgdjUZjuTgTFnMO9Al6ztK4OAA7UNUlerw+/IfRm49T6DAOHg0NDb6+vt7e3levXmUZzPPly5eEV7H/NlpbWxUUFAoLCyGEHR0d8fHx2MGKLoF2NNA5Cx56EU+fPp06dSparRoaGgICArCjdr8GpaWlZ8+e7Yt3u9LS0tOnT/eMch+J5dOnT92KpshD3yE4OHjEiBHR0dEsF2E6nR4bG+vs7Iw9ToWEhPC+QBCgp6f35MkTJpPJYDA+f/58//79f5qjnqCmpub69etnz55l+dWDJf7xZfM3BAV2x+2OM8LCwkxMTLBDWG1tbaGhoXV1dfz8/P369TMwMBgxYgS+fnNzc0BAgK2tLctzZP9V+Pn5hYSE0Ol0FRWVnTt3kjM/sMP169cPHTq0ZcuWjRs3kk+68dBjtLe3Hzx4MCEhQVZWdsSIES4uLr8mZQ0e6GNMr2dhKi8v7/FYfgex8NCnoNFoKKSWuLg4y4T0yINNUFAQO3zKAwFxcXGXLl0qKSlRVVW1sbGxtLT8pznqCbKzs21tbRcsWIA84bgBb30gozcfp/Lz85OSkgwNDaWkpCoqKt6+fdvS0sLHxzd//vwBAwYEBQWNHDly1KhR/fv3b29vLysrS05OlpSUtLKy6i0GeOCBBx544IEHHn49evNxCgDw9OlT/LEdAQGB2bNnDxs2DADw48eP8PBwfFILISGhxYsXozAe/yC4T5qN1eTQhN1P3UrNjb4cck7v8N/I9d1Ho+iS7L897fzP9wghpNPpgoIsjsTjyf6yQf1W0mMymdwkV/n5jrpVp7sUerCy/T7o3SnA8GtGyiXz3C9TP8N2z9r2Std/GnpZX2fNmjVt2rRhw4bJyspqaGjY2NigZykAgLKyspWV1eDBgwUFBSUkJEaMGGFra/uPP0sVFRVJS0tzSLeEUFxcPH/+fBRJ5c6dO1hWEDI2bNhw/Phxdm25wbVr15SUlL5//86uAspkMnXqVC4J/p549eqVlpbWixcvepdsS0vLzp070SktduA8gz1DX9DkgOLi4hkzZnATkZIlHj16hILyo8NKeGADKSoqsrKy2rhx48/yygX8/PwUFBQImRb7DpxNEmVzYplgsbt4/fr1hAkT2GXXwUNdXZ1l+AZuwG5BIK9FZCQmJo4YMSI5OblnXfcRenEKMHR3He4xuGSe84qB1xwub1Is4ePjo6io2K0mBMP/Gc384/DPuW39FmAymZ8+feKm5saNG1E4/5aWFuRLzhI/fvwgnx7C2nID9DbA2eWcZbKFnwfhDH9fQ11dvS8Og9y/f9/AwIBDBc4z2DP0BU3OWLVqlYeHR5fVampqcnNz8SWdnZ1Dhw6FEJaWlpJ1FT+QQ4cOYemSEJhMJpZzqReBIm+hg2/dQo81lmySmKDq6+sBACxPqvYApqamWE4PAvDCzM7O7sHwMbBcEFiuRWTgM42wQx/NOwF9NAUYurUOY+By7Fg1LpnvcsXANIf7mxQZKPVNd1vhDf8nNfOPQt+mQP79QaFQNDQ04N87niiEGiFpNp1Ob2trw3J9i4uLKysrsyOopKSED4xLaMsOVCoVi97Gx8fHbrsQC5+NEURHf7E6EMLW1lZ8q87OTnS4Gv1JzgeOvUWVlpYS/CgJoeeQUaHUgYCUtBwDoQvUO4GrtrY2Op3epVhYEsezhM4Z4YOOkrOyk/kkzCBLDvE94v9kVxlPE6WdZzKZGGOEV1UyBRqNRuaTc6p2bJjsOEdkbW1tS0tL8YXl5eWIsqKiIjrTgNci/EDI+SgOHz4cFRWFLyFkd+EAOp3OZDJpNBohUCF5yqhUKn5O0Xs5VoIJiqXG4s2BG3PGamKCwn7CWyUCyxkhKCEKGoL9SpAhnkO8MPGrEBosZmgYh2S14bwg4NcidOafSqWSPwGitnQ6ndAj3vzJ884BBCkRBMJODXo2BehXTCwougGZJe7XYbziIXCp81g1LpknrBiEdQzgNId8kyJrArv4zBgz7e3tHAI4E4BX2i7vjyyF9mfiT3+cun79upKSUm1tbW1trbW19bJly9zc3CZMmLB7925UwdfX9+LFizdu3EDbUs3NzXv37jU0NAQAuLi4iIqKomi/Fy5ccHZ2Li4utrS0ZNe2srLS0NDw0KFDVCrV3d0dZYnv6OhYt27d69ev165di6Kxs8S1a9f8/f3PnDljZWWF1ovOzs7Dhw/Pnz9fS0sLafPhw4cDAwO9vb23bt0KAHj37t24ceM8PT11dXUPHDgQHh5+9OjR2NhYY2NjtAonJiYeO3YsLCzM0NDw+/fv8fHxZWVlPj4+RUVFra2t+/fvv3jxoq6ubnR0dGlpqZWV1YYNGywsLKZPn/7+/fuTJ09GRUWtWLECzyShi+zs7DFjxri7u2/dunXIkCEoXHhnZ+eePXsePXp05MgRfOoJAEB2dvaAAQPOnDlTVVVlaGg4b968+vr62traKVOm1NTUFBUV7dix49mzZytXrjx58iQA4M6dO0pKSv7+/oMHD46Li3v9+rWLi8ujR4+wiOos+cTPIEsOuzUcMs24uDhFRcVLly7t2rVr+PDhISEhnp6eCxYswJKmEaYJAHDjxo1jx44dPHhQV1fX1dW1oaHhy5cv+/fvP336tI6ODpbmkoy8vLz58+cPGTJk1apVKLIl2vGJiIgQFRX98uXLx48fMzIyQkNDsfwS5eXlly9fbmtr8/Hxefv2bX5+voODw5s3b6ZNm/blyxf8QMioqqqKjo5OTU1FoZljY2P379//9OnTWbNm4TcNWep5eHi4nJzctWvXli9frqysjHIClpWVbdu27cmTJ3/99RfW/Pz5897e3vPmzfP09Gxvb3d1dTU0NDxw4IC0tHRFRYWLi8uLFy8WLFjQ1NSE11jCQLg0ZwxkQd29e3f58uUKCgoo6RO7GSEo4ePHj0+ePLljxw5zc3PCrZTAIV6Yb968GTduHNKo9vZ2R0fHsLAwDw+PFStWtLW1sVQ8sm4TFgT8WnTt2jV5eXkvL6/58+fLycmRs2Y9fvx4xowZsrKyvr6+AACC+eNZvX37trCwcFpa2ocPH2RlZd3c3JhMZmZm5uzZsyGEZCkRBMJSDXo2Bfn5+Xp6ert37z5w4MCkSZM8PDx8fX3t7OyGDRtWXV2NHx036zBB8bqr84RqXTKPNzSCCgESsJsUS00gTBa5OQDA09PT2NhYQUEhOTm5qqpKX19/6tSptbW1DAZj7dq1kZGRLFsBADDNZGdQLIX25+IXfgn7HYGe8aurqyGER48enTFjBpPJ/PDhw6BBgyCE7969QwnGIYQ2NjboQ3FUVJSWlhaEkEqlysvLo+2GM2fONDQ0QAidnJy2bNnCru2WLVvQxcePH6WlpSGE2dnZc+fOhRDGxMRg8V2EhITwm32JiYnLly+HENJotIULF9bW1kZERKiqqqIk5PLy8i9evIAQjhs3rrGxsaOjg0KhoJdRXV3dI0eOdHZ2NjY2rlu3Lj4+HkI4efLkFy9e1NXVjRs3DtF3dnZOSEhADzeoZPfu3ZGRkSUlJUePHh05ciQa1/Tp0yGENTU1Li4u/v7+EEJEEAOhCwjhjBkzUNxhb29vGxsbCOGpU6dQ5FIGg6GgoEDY7Fu7dq27uzuEMCQkRF9fH0LY3t6OKEyZMiUmJgYJQU5O7tmzZ2jukpKSGhsbGxoaRo8ejd7b/Pz80GYfOz6xGWTJYbeGw5KmgoICSud++PBhPT09FJNGTEwMxWUhTBOVSkU5Iuh0uoSEBErROG3atMLCwpKSkvnz59vb20NWsLOzW7FiBYSwtLS0X79+Dx8+DA4OxnY5paWlESl1dXXEPIbs7GxJSUl0fePGDU9PTySrAwcOEAZy7Ngxwmbfxo0bUbXa2lqUMBtC+OHDB0lJSWRECGQ9ZzKZQkJCSUlJEEILCws/Pz8I4bx581AYdJShubOzMzIy0s3NraSk5MWLFygBYlRUlJSUVFNTU01NTUxMjK2tLYQwIyMDywTHbiBcmjMGTFDo5RvFhraxsUHU2M0IXgl//PixYMGCkpKSkpKSgQMHooiXM2fORFs2ZA4xYUIIdXV1g4ODIYTu7u4uLv8fkRzFhYesFI+g2ywXBGwtQtEQPnz4ACE8e/assrIyfuDDhg27du0ahBCFyS4rKyObP8Yqk8kcPnw46nTr1q2IvdevXyPbJEipoqKCIBCWatDjKbC1tUUMJCYmCgkJoRV49uzZd+/exWhyuQ6TFQ+jwKXOY9W4ZB4zNLwK4bfVMM3B36TImkCeLDzQAyuKlb179+7Ro0dDCGNjYxUUFNBquWPHDkgC3vAxzSQbFAeh/Zn4h79O/eNpqAnZwmVlZSkUiqKiYmVlJZ1ODw4OHjt2LPoVSyKLNRESEtqwYcOVK1cAAK2trSg0C/Yry7ZkaGhoPH78+MmTJykpKex2bR49eoRy9gkKCoaFhUlLSwMApKWlUagYFRUV9PE5IyPj8+fPKA4b+l4lJCSkrq4uICAgKSl59epVFRWVhw8fNjY2tra2vn79GsvjduLECZR6D8OzZ88aGhpSUlLU1NSOHj2KkUJjsbKy2rNnz44dOyZOnIhvRegC4BKwKyoqIsN+8ODBuHHjAAB8fHzk6Fnr1q27ffs2hLCkpKSgoCA/P//hw4fW1tYtLS2vXr0aP348ojlt2rTo6GgkanV1dUlJyeTkZGlpaXRODZM2Oz5ZpojHOOzWcNjR7NevHwBAQUFBWlqaQqHw8fFJSEigKD6EaYIQUiiUz58/8/Pza2pqQggbGhqKiorev3+fkpKyevXq5cuXs9QKAMDIkSMRM3PmzOmZN/GaNWu2bt0aGhqan5+Pxsgu4TwBycnJMjIyaJja2tri4uKcGaBQKAICApj0vn//3tbWFhMTM2bMGICbsqdPnzKZzJSUlJqamgcPHggJCQkJCSkoKPTr109GRsbQ0DA1NXXOnDn9+/cnKA95IFyaMzugjxZDhgxpaGjgMCN4JUxNTYUQpqSkpKSk+Pr6Yn2x4xAPTOxPnjzBYtHNnTsXpfcmKx5Zt8kLAkYT2YWKigoAYNmyZT9+/CAkgUamPW/ePGlp6YyMDLL54+dx7dq1N27cAADQaDT04BIfHz9jxgyylFCCHbxAyGrwM1MgKCiIYhYqKCgICAigFVhSUhI/Oi4nnax45Drd0vkumcffR8DfKsRyO5LzekWerPDwcD8/Pz8/P5Tako+Pb/jw4QCA9evXf/r0qbW1dfr06XJyckFBQWVlZeintLQ01IT8fQuvRQSD4kZofxS67bzSuygpKRk0aNA/ywMH1NTUcA4xunHjxlGjRllaWpqamna3LUJjY+OaNWv8/PyEhITCw8NZ1qmvr8c/d0I2sS02bty4evXqhQsXsqxz/fr1+vr63bt3nzlzBkLImWZTU5O2tja61UHSpr6urm5ycvLatWv19fVTU1OxAICELlgyWVNTg96VWcLQ0FBEROT58+c1NTXYo9Xy5cvR7aeiogItJdidgzNZdnxyCW6G0y0gIoRpEhYWvn79+oEDB6ysrMzNzceMGfPt27fGxsbFixejs9bsfNTwkJWV7VkK0vfv3/v6+l66dOn9+/fdcoCgUCh4/SHPSJeoq6tjMBgtLS34EJFNTU1qampYLDrC2CUkJN6/f79t27YJEyYkJibih8zNQLg0STIaGxu5mRHkBMaOeS5FTaFQKioq0DUHqRJ0m/ux8PPzCwgIsAsYO3DgwIEDB3I2/zVr1mhqar57987Q0PDTp0/h4eFiYmJ8fHxkKT148ICDQLoFLqcAAW+tXE46Z8VD6LHOd4v57oI8WSjPDCCt6rKysmJiYmJiYgCAPXv2nDp1qrGxcenSpQAAJpOJmnDvXwW4E9ofhX/y6xSVSi0sLPwHGQCk9NroAlMpXV3dx48fIy3Bcn3jmygrK5uamh4/ftzIyIhAhGXbAQMGoDenkpIS5GD74MEDGo02aNAgdr6EAIApU6ZcvHixuLgYABAaGope6bDKKPlMXl5eUFCQnp4e8nrGfsX42b9/P/oEhTrS19dPSEhA2/+fP3+OjY1FSwNqjpx4kIPkuXPnCMZ59+5dTU3NpKQkMTGxrKwsjE9CFyxFqqOjg7mIkdOnAwDs7OzWrVtnY2NjZ2d36dIlTU1NAIC4uLipqSm2x5+bm7to0SL8ACdMmJCVlZWdnY0ny45PzpPereGwpMmhnOU0ffv27f79++vXr3d3dwcAKCsrCwgIeHl5AQDa29t9fHwAACkpKRycvvPz8xcvXoxpV0NDQ3NzM1IwUVFRsiM8dn369GkNDQ0hISHyGFkCo2ZgYAAAQCeokcD19fWxamQ9ByTpKSoqDho0CPmaoBs2jUabOHHiqVOnqqqqAACRkZFfvnzBNwwPD6dQKLdv37azs3vy5AleYzkMhLM5k4eGb4WMi+WMkEWqq6sbFRX16tUrAEBhYWFISAi+DplDfI8Yt+bm5hEREeg6JycH+dqTx0LWbcKCAEhTiSq8fv16wYIFLL+CtLa2ioqKjh8/nmz+eFaVlJQMDQ0dHBxsbW3t7Ow2bNhgbW3NUkosBcLBiH5+Csjgch1mqXgErjjrfHeZJzDMwe66vEkRJmvRokUODg4ODg5oHwDDp0+fli5dSqFQAAA2NjYNDQ3p6enonWTSpEmoybx589j1Tu6ag9D+UPTixuHt27d9ugOUGrkXGeguGAzG7du3AQDnzp2rqamZOXPmmDFjCgoKvL29AQDBwcFUKhV9MFi/fr2pqem8efO+fPmyc+dOSUlJzB0nJiYGS+laWFhoamqqq6ubk5NDbltaWpqVlaWiojJ79mwvLy8ZGZnIyMh3795JSUlZWVn5+fmJiYldvXr12rVrAABPT08s3WlnZ6eNjY2goKCamtr9+/fb29s3bNiAPjUnJydLSEisX7++qalp2LBhRkZGvr6+Kioq69evR/tfVlZW379/hxDa2tqOGDHiwIEDCxcunDJlSllZ2ZkzZ4SEhJSVlXfv3o060tfXt7CwSE9Pz8vLU1dXl5KS0tXVTUpKKi4u1tfX19LSSktLgxDu3Lnz8OHDCQkJ27dvx+ccJXTx6tUrZWXlZcuWVVRULF26VFZW9tOnT4WFhZqamjNmzNi2bduIESMcHR3xOeQhhMjfAl0vWLAA+xVFWrp586avr+/Vq1chhGib1cPDA+Ub9vDwUFJSWrVq1fLlyzU1NVNSUljyWV9fj83g169fyRx2azhkmvHx8fz8/O7u7pWVlZaWlvLy8unp6fHx8RQK5ejRo83NzYRpYjKZ6urqSkpK2tras2fPjoqKghBGRERISkoOHjx4+vTpKLWtgoICwVvrxo0bxsbGt2/fPnXq1OPHjyGENBpt3LhxBgYGrq6uo0ePPnjwIITQ1dV13LhxoaGhqFVTU5OHhweFQgkJCeno6Lh06ZKMjMzWrVtdXFxUVFRiYmKwgRQWFhobG2tqauJT7EVGRioqKp45c4ZOpz9//nzWrFmhoaEHDx5E2zoYyHqO3J+9vLxKSkpGjx5tbGxcXV395MkTOTk5W1vbXbt2ycjIXL9+vb29fe7cucLCwqNHj/bz82tpadmwYYOgoGB4eDiEMCQkZPny5fHx8c7OzgUFBXiNJQwkOjqaG3MuLS3FeMYEhY4y+Pj4fPv2bcKECZMnTy4vLyfPCAJBCQ8cOCAgIKCmpmZvb0+n05OSkuTk5KysrKqqqggcJiUlYcJ88+aNnJzc6tWra2tr29vbV65ceejQoZCQkH379tFoNJZaitftxsZG8oLw9etXbC1CDxM7d+68devWxo0by8vL8ZNlb2+/bNmygICAAwcOZGdnQwgJ5k+YdwhhaGjoiRMnkDpZWVlhpMhSIgiEpRr0bAq+fv2qoaFhbm5eWVmJ/KADAwNzc3PV1NQWL16M5Ynnch0mKB5ePlzqPFbt6tWrXTKPXzEIKoSAaU5FRQV2k8rOziZrAnmy8GhtbdXT09u/f39AQMD+/fuRexnCiRMnsGUBD7zhv337FmlmQUEB2aA4CO3PRG9GRf/8+TPLgwmcsX379t5ioI/Q2NgoISFBp9OFhYVZVqDRaOy2jclt6XR6Z2ensLAwk8lE74jt7e1CQkL8/PzNzc1oY54lmpqaREVFWYaxRkAn88XExDCChAotLS0SEhIMBoNKpaJPvlQqtbOzEztNjQ4wi4iIoD9ra2uR6w+5IyaTibmLce6CJerq6qSlpalUKkuRdnR0IB7a29sJn9MbGhokJSXZRRxGtw1+fn40HRz45BJcDqdbIExTZWVleHj4ggULamtrm5ubg4KC0GrFYDAaGxuRnxwAgEqlXrt2bcuWLQRqtbW1BI+QpqYmSUlJvGxbW1vFxcU5jxEAwFn9MBCooakkVyPrOUugU/T9+vXDV2toaBAXFyerOpPJpFAo9fX1WI94jeVyIBzMmbOgCDPCDu3t7QwGAx8tBQOZQ3Y9trW18fHxYZZIRrd0u6OjQ1RUtLa2lkKhsEz3yWAwmpubCTuABPPHswoh7OzsRFZGMFKylDgIhIxemQIyuFmHAXvF41Ln+4h5bsBurUZAL6WEFezAgQP79+//eYcndkL7A9Gbj1NMJvPOnTsoISK7ecUAIayrq0tPTyffIXjg4c/Bnj17JCQk3NzcBAUFi4uLX7x4sXbtWnK158+fT5o06Y9KFs5Db6GtrU1cXLy6unrgwIH/NC88/MOAEN66dUtUVLSsrGzXrl3/NDv/KfSmKzofH9/EiRPFxcWHDBnCZRNe+C8e/nDY29t7enpOnjx52LBh06dPX79+PctqWNgqHnjoLu7du6eionLv3j07OztuPkDy8B8GnU6/efOmoqIiOp7JQy+il1Mgo6AU6EA7N/jy5YuWllYvMsADDzzwwAMPPPDwi9HLj1OgzzKB88ADDzzwwAMPPPye6P3nHt6zVHeBHWzuXSK9Qrav0Udj5wHDPyWcnvX7m+gDk8nswXsmOt3zk13/x/AvtU2M7X8R/yxZ5cz/z/zKAxm8R59/EjQabe/evYToIOywc+fO2bNnOzg4LFiwwNjYePv27UuWLDEwMHj//r2uru7du3cJ9SdMmEBIQvdbgR3b3UK3BPhn4terwZcvX6ZOnXrkyJFutWppadm+fbuent5P9v7o0SNdXd2fJLJr167ueuneu3dv8ODB3759+8mu/zPoFQP/9cBrb6/o0i8Au2WQA/8VFRVLliyxt7dnR/PfMvbfCr/0cYrJZLa3t2Nh/XgQEhIyNTXlECUcj5aWltDQUB8fn6FDh9bW1p4/fz44OHjo0KE6Ojr8/Pzk1+Lg4OBZs2b1Adc/hZaWlszMTAAAO7bJyMrKIosIFXZLgJyBJV7tAVCgwt8TXarBzwycJbS0tGRlZbv7aishIWFsbNzW1vaTvc+ZM+fBgwccKrBUJwLc3Nzc3Ny46Q7TZ0tLy9LSUq7Z/C8DaRT3Bv5bAa+9XeoSZ2C6wT16ZozslkEO/MvLyw8bNozDvfgnx/5n4pc+TjU0NFy5ciUlJeVXdsoN2tra8Ks/ipyLwqVwU4g/n9jY2MiZOGpFpVLRNRbypMsHze3bt5NDH6GM7hgRvEWpq6vjQ0+xu1EhTlDyVFSCUnhioNPphBRjdDodn08AJShgMBiELsg9dnZ2Ll++HOW7BbixExYCPP2KigoLCwsCKXwhBwE2NjZyuZp7eXnduXMH+5NGozEYDIxaW1sbgTJ+Tl+/fu3g4MCSbJcPByg7MoPBIORnIPRIUDMqlUqIKN3S0oIfKb4+Xg3IOkwYOJkyBi4nvaOjg0qlsgs0xVkgWCuCvjGZTMxesIHgS/DjFRERUVVVJfyEhasmqxNLlgYNGoTFZ2I3UvC/+owxz2AwCPyT9YdD7wTrQ8PECEIICTHuORDnDPK6xBkEBQBsRIfXKA4Gzi4/KXmuycBPN5od/Arc2trapUC41F6CLiHGCBMEAGCZroCw1gGOo0YgGGO3wHIZJPAP/pd5rElzczN5nSSPnd3K0F1F+g/jT9/s+/79+4YNG5KTky0sLKKioqhUqrOzs7q6uoeHx5w5c2RlZZ8/f86ysLS01NbW1sbGZsOGDcrKygAAPz+/06dPR0REmJmZJSQkkIkDAJhMpqenZ0BAgLu7O0rZDQCAEJ45c8ba2lpRUTE3N5cdq9ra2uTCUaNGIWe1rKysLVu2jB49Gt3aU1JSJk2a5O/vDwD49OnT4cOHY2NjCYftGxoaNm3aZGJicvHixVWrVqmpqSUkJOzbt8/AwGDz5s2ojr+//5kzZ1auXLl8+XImk9nZ2blu3bq4uDg3NzeUESU6OlpeXv7ChQvr169XVlZ+9uwZhx4/fvz4/v37p0+fImmQ2SbTT0xMLCoqunHjBv49j1BIFmBhYeG+fft8fHzGjh376tWr9PR0ZWXltWvXtrS0UKnUpUuXosyyCNXV1ZGRkZ8/f/b3909LS5s4caKbm5uZmZmNjQ2VSj106NDFixenTJly4cIF8pxCCO/fv19RUeHj41NdXY3RJEggMDBQWFi4srKyqKhoxowZK1euBADcvn1bSUnp2LFjCxYsUFBQOHHiBACA0GN7e7u7u/vIkSN9fHwGDhyYlZXl7u6ekJBw4sSJs2fPAgCqqqrc3NyioqJsbGzOnz9PUEtMDVjqMH7gAAACZQxcTjqDwXBzc7t///6lS5fIqWG5EQgism3bNj09vcGDB79//x4AcP/+/Zs3bwYHB9vZ2QGSBbW1teHlk5yc7O7ujhL6pqamjhs3bvv27TY2Nurq6osWLaLT6XjNYaelxcXFtra2iCWWI+Wgz+Hh4atXr1ZSUkLJc8j6g6G1tdXJySkxMdHOzg69YXp5eV25ciU0NHT69OkMBqOgoMDExGTjxo1Hjx6dOXPm4sWLIyMjt23bpqamFhgYyJl4bm6ujIyMs7Nza2urjY2Nmppafn4+AGD9+vWBgYEEHWYwGJs3bxYTE8vIyAAApKenz5w5E/+cQVYAMvNkU0IlBAMHpCUFzzZ+rmk02o4dO9Cil5KSoqKicvXqVYJ6BwQEqKioXLp0SUtL68KFCz9+/HBwcIiJidm9e/e6deuoVOqnT58UFBSCg4Obmpp27tyJIvhwqb3Nzc2YLn39+lVXV9fR0XH37t2jRo3666+/EMPZ2dlr1qyJjIwcN27cmjVrwsLC2OkGYdSPHz/u37+/p6fnx48fjYyMvnz5QhYdAchkoqKivn37NmbMGAsLi/r6+sbGRmNjY5SrjbAM4vlH5nD48OHo6GhjY+PExERU2NDQsGfPnmnTpk2YMAH/DEpoy25lIN/g/nT0Vnh1JpOZ3RXS0tK8vb3DwsLwhb3FQM8QGBi4a9cuCOGNGzfMzc0hhHFxcWJiYjU1NRBCd3f3oUOHsis8ePDgmDFjGAxGTU1NUlKSuro6ohkfHy8lJVVfX08m7uXlhXKwNzU1zZ07t6WlJTY2Vlpaur6+HkI4bdq0Y8eOdcnz9u3btbS08CUGBgaHDx+GEL5+/VpYWBgVmpqaXrhwAUJ46NAhlBHi2bNnyMcWQ0BAgLq6Osr3NH78eDc3NwhhQUGBoKAgk8mMi4tzcHAoKSlBJREREUVFRQYGBhDCoqKifv36ISL9+vULCwtDAlmxYgXnHidMmHD//n12bJPpo9cpQloMfCFLAU6fPj07O7ukpGTnzp0TJkyAEB47dgxRhhBu2bKFIFJHR8eNGzeiaxMTk61bt0IIa2trUXKGkpKSBw8e8PPz19XVkec0IiICm3oMBAmg13rEsIeHh7W1NYSws7OTQqHExMRACOPj4/n4+IqKisg9JiQkCAkJ/fjxo66ujkajKSsro0wRT58+hRDOnz8fJRFKTU21t7eH/6uWeDVgqcPYwOl0OoEyBi4n/eLFi+7u7ujXmTNnHjhwoLsCefTokZSUVFNTE4RwzZo1Y8eORfy/ffsW44psQXj5MBiMly9fSktLo06NjIxcXFwghNXV1dLS0rdv38ZrDgctPXTo0OLFi9mNFA9Mn9HdKDExEULo6ek5c+ZMCCF5NrGGL1++nDNnDpPJrK2tfffuHYRw0qRJJSUlEEIVFZX09HQI4YYNG9avXw8hRN8/YmNjIYTXrl2bPn06Z+IQwq1bt6K2ubm5YmJi6AuEi4sLk8kk63BLS4u0tDSi//jx42fPnnFWADLzGPCmRDZw8pKCb0uY6+joaMyypk6d6uvrC/9Xvel0Oj8/f0hISHt7e0tLy4wZM+7du4fqT5ky5dChQ0iqaIJevXolJyfHbk5Zai9el8zNzXfs2AEhTEhIUFZWRoULFy68ceMGGvWyZcvY6QbLUZ85c0ZXV9fd3R3LdIQXHUuMGjUKDdDf33/KlCkQQjqdjhZtlssgxn9jY6OJiQla5y9fvnz58mUIoZubG3pwp9FooqKiycnJ+L6wthxWBrIi/eHotTCeEMLnz59zk4/627dveIdNDQ2N3uKhB7CxsZk3b15YWFhmZiZ6IRMSEpKQkECJO1avXu3h4dHQ0MCyUFhYWE1NjY+PT0ZGJiIiYsKECYimmZlZR0dHSkoKmXhwcPDNmzcBAP369cMe5yUkJFB6hyFDhtTX1/dsIIMHD0YUqFQqStKCZQ9YvHixnp7e58+fT548SYhWLygoKCEhgb5vKSgooHSYkpKSnZ2dTU1NT5484efnR2+fAQEBI0eOVFVVffXq1bNnz75//469vwoKCg4aNAgAoKSkFB8fz7lHzmyzpN8lCAJsaWn58uXLp0+fAACGhoampqYAgC1bthw7diwpKUlaWlpHR4cDNWFhYaST0tLS0dHRQ4YMSUlJoVAogYGBFAqFPKcswY0EBAQEKBQKemM2MzNTUFDIzMwk9ygsLCwhIaGkpIRamZmZjRkz5syZM1ZWVm1tbWlpaUiGEydOnDhxIuIfU0sAAKYGLHUYY4afnx9PGc8nl5MeEBDg5OSEfiVH3+ZSJRQUFFCcyY0bNxoYGLS2tq5atcrMzMzNzW3Pnj2AlQUR5INPmiEkJIQ2LAYOHDhnzpy0tDQsczZnlvBEyCPlAEyfkWzJs4nVnDx5cl5enpGREUoVDAB4+/bt+/fvU1NTqVQqkrOgoCDKM9O/f38xMTEkVUlJSfQdlANxAMCmTZsMDAy8vb3z8/+PvfOOi2LnHn6WXqRKb2IDAUVBRJSi2C5iA0QUBbvYELuAIF4bWK4FRUFURFAs2KmKAgIKCtIsIKCgNOm9LMtu3j/ye+adZ2Z2XRXLfdzvhz+G2UxycnKSmUky55TIysreuHFj5syZysrKlDYsLi7u5uZ26NChKVOmpKSkHD58GJ8V2QDIwn9RIaiDk4cUfGJCW1NCMG9+fn5tbW0REZGurq5Hjx5hoZFnzZp18+ZNHx8fyky4tF6CGSgpKaFLKioq0EkIIRpnRo4cWVNTw05mylpv3Ljx5s2bLS0tKioqbNX336xZs+bChQsLFy6srq5+8+bN+/fv8/PzbWxs0K/k+wgmPwoKicZ5FxcXLEMVFRU+Pj4+Pj5lZWXCkiV2LYeRgcvB8M+hzxb7+Pj4HBwcZGRk+Pn5NdigrKwMAJCSkhqIo68E+Dby8/NdXFymTp1qZGQESevHKPobwY8w5UkajVZVVYX9KyMjIyoqSs68qakJ/yhJLvFHMHz48JycnM+fP48aNaq0tJTLqyCEKMKU/X9QVVVtb2+3sbEZMmSIlZUVB+G/rUQAAJf5c6a1tbWpqWnGjBlI7FmzZtHpdElJyfXr1x88ePDu3bsODg5cZtXS0qKlpYVpQEhIiLPBYHyDBvj5+eXl5cklEpJdvHhxx44dq1at8vDwaGlpqa2txTbTcK8xShvG54w/z2Wj1NXVkTcOYnytQuTl5cXFxcXExJYtW3bnzp3w8HBLS0sWi/XNPYifn19BQeF7RPoGOLSmsLBwVlaWoaGhqanp/fv3AQAbNmyoqqqys7MTFxfnXC/0K2dTGT58+PDhw2/evPngwYOAgICQkJCwsLCFCxcCNoOem5tbenp6UlKSvLw8wdkN2QDIwnOvEMKQgv+V0NbcZwsAoNFo+EEYjcDcX87Zetlx+PDh1NTUc+fOZWZm7tu3j10yylp3d3dra2uHhIS8e/eOy+KcnZ2fP3+el5cHIXR2dr548WJGRgZ6ieLMd9532I0MXA6Gfw59uXdKQUFhwYIFyMv51KlTbUhMnjwZADBo0KBZOPpQgG/g6NGjmpqa4uLibW1tWAfGDp48eWJvb4928lKexGxo9uzZGRkZ9fX1AICmpiYRERFjY2Ny5ubm5j4+PujVISwsrLq6GlD5OGlpaUEvPZRQOsVB1+K3BGJpLl26NHTo0AcPHlhYWCQkJHDQBiHbsWPHnjp16v379wCAN2/e3L179+bNm/X19YMGDUJrB4T0mIo4lCgmJobfS0sQm5y/kJAQHx8fYfst4SRBgcrKyrKysl5eXujM4cOHkWBbtmx58uRJU1MTORorQSqsXsbGxh4eHmhl6vr16yUlJeQ2JVxLqQFBQUExMTE0qfDhwwf8NgWUycePH1GMJnKJeHna29vv3r3r6ur67NmzS5cuKSsra2pqbtu2DW1rO378OPzPbjxyXQCVDWPCE3LG14XLRh8zZgxaiQAAdHV1of3C36AQxOvXr52dnWk02qVLl6ZNm5adnV1VVVVSUkLZg9jVFy/e06dP586di7ccDlZKeW+gvMFztmfK1kTExcX19PScOnXq6NGjV69eLS0tDQoKmjx5MovF6uzspCyLIBWHzBFr1qzx9vY2NzefMWPGhw8fPn78iKafKQc9GRkZV1fXBQsWLFiwgJAP2QAIwnOvEPKQgr+W0NbS0tJNTU3oW41Pnz5hRkLQA/pXRERk2rRpmE+QgoIC9NYkLS2NzKy0tJRsZpyt94tm8OHDB19f31WrVp06dYo8NYCpgrLWvr6+Bw8edHNzW7JkCXkkefHiBX4vJkJKSmrevHn29varVq1atWpVYGDgkCFDCKrGH2Dym5iYZGdnR0REAABqa2tDQkLYXULQKuA4MlAa0h9N360b/n8+fPgQFhZWXFxMON/Q0ODv74+2F/wmXLhwQVpaetmyZcePH+/Xr19oaGhqaqqIiMiuXbsuXbrk4uJSV1cHISSf/Pjx48SJE1VVVZ88eYKyOnv2rK2t7b179zw9PdHWB3Lmnz9/HjdunLCwsK6ubnR0dHd39/r162k02oMHDwoKCrS0tExNTaurq0+cOEHYHYWRlJSko6MjLCwcHh6O4oRnZWUpKCjMmjWrtrb277//BgBcvnw5MzNTXV199uzZ5eXl7u7uO3bsePLkiZub2+fPn7GsGhsbFy1a1L9//6ysrLy8PDU1tcmTJ1dUVPj7+wMAQkJCenp65s6dKyAgoKOjg+7ZeXl5MjIyM2fODA0NlZKScnV1ffToEQDA09OzpqZmxowZioqKb968YVcihPDgwYNDhgw5d+4cpdjk/CGEVlZWkyZNevToET4fdDI2NpZSgQkJCXJyckpKSmPHjs3JycGuWrNmTWpqKlmrycnJCgoKe/fuffTokbKy8uTJkwsLCyGEHz9+1NfXFxcXHzlyJBptyW3a0tKiqKjo4uLy7t07LEOyBnbs2DFo0CAHB4d169aNHj0aJebj41u+fHloaOiaNWtevnxJLrG9vX3Dhg0AgNDQ0N7e3ra2NgMDg1u3boWHh588eRJC+OzZM1VVVWlp6XHjxhUXFxPMEm8GlIaNVbyiooKQMwaXjf7p0ycDA4Px48evXr16/Pjxc+bMqaio+CqFFBYWjhgx4p9//rl8+fKuXbvQ54p//fXXmTNnEhMTN2zYwGQyCT2IoJ/m5mYPDw8+Pr7bt29DCCdNmjRp0qSzZ896eXmFh4fjLefRo0fsrLS0tNTKymro0KFZWVmUNaW0Z+Rgydvbu66ubs6cOfLy8tnZ2WT7wYiOjp47d+6jR4/27dv35MkTOp0+bNgwIyOjQ4cOTZgwYcqUKc+ePRs5cqSFhcXHjx/v3LkDANi8eXNNTY2zs7O0tPTLly85ZI7o6uoyNTVFO2Y8PT2xgZdsw+h8TU3N5MmTyfmQDYAgPGVXQgeEDk4eUvDXEtqaxWKZmZmNHj161apV06dPd3R0fP36Nd68w8LCAAAbN25EOwIrKyutrKwCAgKuXLny999/o4rfunVLVVV19uzZBw4ckJeXj42N5dJ63759i9lSUVHRwIEDra2tP3/+jN7Tbt26BSHcuHGjpKSknp7e2LFjt2zZgj1uEmyDXOvDhw8vXboUQlhUVESj0ZYvX97S0oKprrm5edCgQWh3FIEXL15g+6usrKxQiZT3kXfv3uH7QlBQkKioqLKy8rx58zo7OysrKy0sLIYMGfL27duEhAQ+Pr41a9b09PSgnPH9iDzmYLAzpD+WH/I4BSHs6Oi4d+/egwcPuru7sZO/4eMUhBDrA+i7erRjkcFgoM13CMqTZFgsFmFDKCFzBNozyzkfdC/pE5hMZm9vL0Ew7mltbUXPbYju7m7U69rb29nVgnOJnKtGmX9HRwc5JeVJDBaLhZ4Y8Li5ubFLz0EqtOkV+5fcpnQ6ncFg4C+h1EBrayuLxcL3CD4+vrdv36KbAYcSCTm3tLTQ6XRCenbCY7CzYazilDkjuGl0RENDA6GOWObcKASdxJ9hMpnd3d1ofzrGF3sQAu1fJidGlvOd/QLji12VsjWRSPiGY7FYyLQYDAZyXMINHEwFQoj1XEKGlONSWlrajRs3KPMhGABZeDxfVAhhSMGgbGtkrmSL4pA59liA6Ozs7OnpYTAYX7QZdtZLSW9vr5+fX1VVVUFBQWZm5vXr1y9dukRIg1cFu1pTpu/p6fnnn38o07Br0y/yxfsXOziMDJSG9MfS9zH78OTn5+fn50+aNAnttmtsbLx8+bKBgYG5ufmPK/Q7SUlJsbW1bWho+OJJHv8WGhsb796929PTIykpibaP/A5ACAUEBPLy8oYPH/4TivsDbdjS0nLu3LnsvILxwHjw4AGdTr979+65c+fwzup4cCAhIWHPnj3R0dHS0tIsFis+Pl5dXX3EiBF9kvnjx4/19fXR4iyPfws/1u+Uvr6+tbV1SkrK06dP/xWevtCkWr9+/a5fv44ttFOe5PEvor6+/uTJkyUlJb/PsxQA4NKlS2pqardv3yZvkuhz/kAbzsjIaGxsfPbsGfdbff9YEhMT9+3bt2nTJt6zFPeYmZmZm5tbWVnNnDlz+/btw4YN66tnKQDA5MmTec9S/zp+7OwUgslkZmRkfPr0acyYMbGxsb/57BQPHjx48ODBg8dX8TO8ovPz85uampqbm//Ooc0wvmEWjXxJb2/vT/jSAUL4/aV886whNxcSPu/60fzoGdCvzf/3mZH9fST5Nn60/JRfy37xkh8kDEbf1pryM65vKKJPOvW/3SB/IT9Udbx2+R5+XpAZNTW1RYsWOTo6GhgY/LRCvwFdXV306ce3XdLS0nLgwIHo6OhJkyahD09+EBEREerq6p8+ffqeTE6fPq2oqIiPeMUNVVVVzs7OBJduBGJjY8+ePTtx4kTCt7U/iMzMTAMDA8J3131LRUWFlJQU56hbGKWlpfPnz1+0aNGPk4d7vkpy7mlsbAwICBg9evSSJUuys7P7NnMMFB7H1NT0B+WPWLt2LQqfwg0XL15UU1N7+/btDxXp2rVrEyZM6JOsnj59amxsHBQUhM82Ozt7/PjxJ06c4D6frq6uPXv2nDhxYvjw4b29vd8sTx9W7Y+iu7vb29v7x91Aee3yvfzSjfC/I4WFhZSfMHB5ydq1a5OSkiCE9fX1r1+//k5hnj17xu6n3t5eGo1WWlr6Pfkjtz1f/N6EjL+/v7W1NbtfmUymurp6b29vXV1dVVXV90j4RTAVGRoaRkZG9nn+WVlZWOO+evWK+wsPHDiABSr55XyV5F8FPz//uXPnfkTOzc3NyCtBVFQUO78h3wlmPJWVldx8HYlgsVhCQkLfrFKsXpQ8ffoUHXR0dJSUlHxbEWSmTJmCYg3hs7WxsTly5Aj3mQQGBqLILfn5+d8gww+q2u8GfsToc5KSkjQ0NL4/H8o7y/92u/wEfsjsFPnFpby8/N69eyEhIefOnbt79+6LFy++5+Wmz8FHStfW1saHayAHbEdxxfGu6vCXPH78GMUokJGRQaGREcg7Hz6fnp4efOx09PkxPjq6r6/vzZs3KQVua2vj4+PDy8lgMNCXwOjfjo4ObhYjsKDi3d3dhGleQhB4QpXJ3rrx1NfX19TU8PPzy8nJIVf4PT09hOojrZInxpBOsKkUQrh4gmB4FeEDpBPExhsbyh99OE2ZHt8u1dXVdnZ22OqGrq4uXquECyGE3KgIQkjWLQFUIsE7KKGJCU6cUewt/Bm8VRMkR5+74xOTrZqQAzv4+fkxzZNtGA+LxUKf9GOWQIhFj1cgg8FYuHAhiu2K5d/R0UEQm6CELxoPvl/gjUdFRUVSUhIvKofeSqPRMJHIpRMqBf5b2/h6kUVKTk7eunUrOhYTE9PQ0PhiZQnFkc0AgVkjPlt2JkroMhh5eXnoErTnmtCFCQMa+gnrZRyqRu4RX1U1PN/cuQBVh6I0ZspWwIYCwogBuOtElNUnDC8oGaXhge8YNlksFvJPAahMjjw2EvoFN7X7c+jjx6n379+HhYWdOXMmKCgoIyMDQggAePr06Z07dz5+/Nje3t7V1VVRUZGRkXHt2rXf4Zvt3NxcPz+/+Ph4FMwrPT199OjRyHssAGDr1q1XrlxZtmyZpaWll5dXYWGhgYGBh4fHxo0bkX82wiVhYWGfPn26dOnS8ePHp06dirzAAwAuXbp05syZ4OBgKyur9vb2np6eFStWpKSkuLq6olDwMTExioqKQUFBKBx9Xl5ebW1tXFxcbm4uilCGUVNT4+rqGhsbu2PHDjQKZ2VljR49evfu3WZmZmvXri0rK1u7dm16evr06dOfPXtWVFQkIyOzZ8+e5uZmKysrExOTqqqqrq6u6dOn5+fnozyPHj1qaWkpLy+PgqDFxsYiL3xmZmbIzztyXhcTEzN79mxMOYgzZ87Mnz8/MzMTL2FQUBCDwQgICEhKSqLT6du2bbt586a/v/+cOXMaGhoqKyvnz5+/ePHiRYsWoYjxiJKSElNT0w0bNuzdu9fc3NzV1fXKlSurV68eMGDAy5cvyYKRVZSVlbV69eqhQ4cePHgQANDV1bVr164zZ86YmJggsY8ePaqmpoay1dDQePjw4e7du6dMmTJ//nwAALldkpOTP336FBwc/Pbt29DQUDU1NbS6mp6efuDAgZiYmPHjx7969QoA4OfnFx4efvHixXnz5nGwt5iYmIMHD3p6ek6cOLG1tTU/P3/YsGEODg41NTXjxo1LT0+vqqqysbGxt7dfuXKloaGhiYlJU1MToYmLioq8vLz8/f1HjhyJGjEsLCwiIuLKlSubN28mWzVe8k+fPrm5uT148GD16tXbtm2DEFJaNSEHbiDbMP7XxMREVVVVf39/9A3UhQsX/vnnHycnJ21tbXQPICgwPz8/JycnOjoa+StnMpkHDx60s7PT1NRENklQwheNh9Av8MZTVlbm4OCwZs0aJOoXeysZCOG+fft0dHSCgoJsbGyGDh2KbqhkbePrRRAJBSeurKwMCAioqKjw8vLClnWSk5M9PT0fPHgwY8YMFFWXsjiCGZBpa2vDZ4tgMpmLFy/28fH58OEDuctgREVFZWdnp6WlBQQEFBcX47swWUVMJnPv3r2RkZGbNm3aunUrh6oFBAScPHny9u3blpaWyOPut1UNfGvnIquXnTETTK6xsdHR0dHe3n737t3jx49HXw3jRwxuOhFhTKPMEwDw/Pnzbdu23b9/H/lYxvM9w+aVK1fU1dXPnj07ZMiQkJAQfLuQh7gzZ86cOHFi7ty5bm5uyJa2b9+enJy8YMEC/OvBH00fznR9+vTJ/79JSEiorKxEx4GBgXl5eWhdqbW19cWLF6Ghod+wzNS3eHt7+/v7QwixIOpmZmYoSHhmZqaenh6EsLS0lI+PD/krmz59ure3N4Tw+vXrpqamhEsghJKSkmhQiIiIMDY2hhCi6BboV0dHx5KSkuLi4kmTJqEihg4din4SFRV9/PgxhHDNmjVeXl4QQjc3ty1bthAEtrW1RfO06GEULfaZmpq6u7szmczGxsbw8HAUY/zIkSOrVq2CELq4uGzatAlCmJKSoqGhgXbdenp6QgjRJ/ooCNThw4fl5OTodPrq1atjY2MhhNbW1hERERDCadOmoTQJCQko88DAQGtr6+fPn58/f56sVaQxdLx///4NGzag49WrV6P47V5eXiYmJiwWi7DC4uzsjEQtKioCACDH+tu2bdu6dSu6nCAYXkXGxsYoysqdO3cGDRoEIXR3d79161Z5efnZs2elpKSYTCbq9sjjnKOjIwoCj95T29rayO2CRlvMuSJSeFNTk56eHnIJeOjQIeQfefTo0chrqLi4OFrfPHLkCGGxr7a21srKqry8vLy8XEtL69ixY8g8FBQUjh49+vz5c5TMw8NjypQpEMLu7u7hw4ejQPf4Jp48eXJxcXF5efmSJUtQIHczMzPUQMiMCVaNSQ4hnDx5MvKSzGKxdHR0Lly4AKmsmtwv2CEkJIQZP9mG8airq9+7dw9CGBwcrKmpiRZEjIyMoqOjKRWor68fFRUFIYyLi1NVVUWtoK+vj/ybk5XA2XjI/QJvPN7e3osXL4Zc91YxMTHCYt+LFy/69euH3CQOGzYMOfGn1DZWL7JId+7cMTQ0RBk+fvwYLes0NzfLy8tjjr9FREQKCwspiyOYAR5ra2u02IdlCyF0cHA4cuTI1atXUatBqi6Dz2Tx4sX79u1Dx/guTFaRn58fsp/q6uo5c+awq1pqaqq+vj46ee3atYEDBzIYjK+tGuKbOxeleiGVMZNN7vDhwxYWFkwms6amRkhIqKOjAz9icNOJyGMaOc/Ozk5dXV3ktPPOnTvkxb5vHjbRyBAfH9/e3t7d3Y21C3mIi4+P37p1a3l5OXqyzM7Ofvz4sY2NDYSwtLSUHAHlz4R65vDbePHiBQBAVVXV1NRUSkqqoaHh+fPnsbGxAAA+Pj47OzssBKmEhMSYMWPk5ORevnz5ozeZcsbe3n7ixIlv3rw5dOgQOoOfAC8pKaHT6ZqamthCABaKXEVFpby8nHwJBrYSd+vWLUtLS3SMvfA9fPgwPj6+oKAAmzsVFBRE+lFVVS0uLqaUlk6n37t3D2UiKyuLRSoVFhYeNmwYHx+fjIyMk5NTa2vrnTt33r59i17sVq9ebWVldfjw4dLSUiaTmZSU1K9fv/Hjx2PZamlpAQBWrVq1Y8eOkpKSoKCgsrKymzdv1tXVdXZ2trW1ZWdno2mkKVOmTJkyBV31/v17FxeX58+fc9ZwVFTUunXr0PGMGTOWLl0KABAREdHS0qLRaCgsPIagoCBSNVoiRMumUlJSKB4ZQTByWWh1VVNTE0VHj4+P19HRycjIkJWVPX/+PIPBEBQUBABgRaAVDXFxcT4+voaGhiFDhpDbBUNAQAApPC0tDWkbALBjxw70a1ZW1osXL1JTU8nrRBjPnj2j0WgosPyBAwcGDx4MABg/fvzcuXPv37+/ZcsWlExISAhNuQsLC8+bNw9pGGtiGo1WUlKSm5sLAJg5cyaqy7Jly8zNzXfv3r1x40ZAsmpM8q6ursTERBSxi0ajWVlZxcTELF++nGzV5H7BDZxtGN+4kpKSqNdISkqi2SbOCpSSkkKRFlHjNjc3k5XA2XjI/QKPsLAwOuCyt1LWXUhISEpKClMjO21jl3AWCRtVMjIyxMXFUU9RUVHR0dFJSEgwMzMjFAdIZkAJYbCKiIgYMWIE9r0IuctgmiGA78L9+/cnqCgyMhJ9iKOkpET+QASTITo62tDQEB1bW1svWLCgsLCQrEluqvbNnYtSvdra2gRjZmdycnJyfHx8CgoKvb29tbW10tLSmEjcdCLymEbOs6SkpF+/fiiiM7JqAt88bKKRQVtbW1xcHN8u5CFu06ZNgoKCSL2RkZHy8vLDhg1bt26dpaVlYGDgsGHD2FXwj6IvF/vq6+vFxMRmzZqlpKQkKiqqpqZmZ2eHGlhPT48Qzh0AMHDgwMbGxj4U4BsYOXJkZmZmYWHh6NGj0bCOMXr0aDc3tw0bNhw/fvzIkSPkuLlc0tjYiHZ8IyCEbW1tdnZ2w4cPt7S0hF/zeXZTUxOLxeIc+Tw3N9fV1XX69OnotQ8AYGhoqKamFhMT8/r1a09Pz5CQkOjo6OnTpxMulJaW5ufnl5eXDwsLu3Llir29vbKyMoSwqamppaUFWyPHBB48ePDgwYOxRyV24MO8y8rKioiIcF9fDFQoQbAvXtXS0qKrq4sFcue8mYz7dmlsbPz8+TNBtjVr1rS1tdna2goKCrK7FjUcJg82BklISLx58wa9eBBALYI/09ra2tTUhNYs0HjNZDKXL18eGRkZEBBgZ2cH2Fs1jUbDN0f//v3ZNQeHftHncK9ADEolcM6f3C8o6cPe+kVtcykSjUarqanBrJdDJyKYATdYW1unpqZeuXIF/ftVXQaDrCLKPkJZNUw/EhIS/Pz831y1b+5cXKr3q0wOwU0n4mZMq6+v5zzms+Pbhk1A1XwtLS0KCgqYevv37y8qKpqVlTV06NAxY8akpaV9g3j/e/Tl4xSEUFVVFf/2Q6PRpkyZIioqOmDAAMpLhISEfu1etvDw8CFDhiQnJw8ePPjZs2cA1/PpdLqEhMTp06c3b968cuVKwoX4gQZvo9gxmv0DAJibmwcHB6Np2IcPH+bl5V2/fr29vV1NTa29vZ08YGFnREVFCfsllZSUVFVV0eo+WivBXmqxco8cOaKlpSUiIoLP3MXFxc3NbcaMGYsWLYqLi+vXrx/Z/fG7d+8mTZokLy/v6emJPpdFOairqysrK6PFwa6uLvz2kZCQkKSkpODgYEJWWN0BAHPmzMHCvBcWFmJbi7jp2IQ0BMHIKkInsWFuzJgxnp6eSEXBwcHkZ3dC/uR2ERYWptFohFYYN25cRkYGeuf++PHj9evXS0pKLl26ZG5uzmAwenp62N2EjIyMEhISHj58CACoqalB8xaXLl2aM2fOyZMnV69ejW38xHJISUlB+7owadXU1ERFRffu3QsAYDAYhw8f5uPjCw8PnzZtWk5OTlpaWktLC9mqESIiIlOmTLl//z76t6CgwMHBAS8hVi45h5cvXxI2GmOXcLBhdhA0T6lAfONiGaLGpVQC5yLI/QKfP5b4a3srJSgZO21j5XIpkomJibi4+OPHj9HJqqoqwrsQvtXwZkApG0Et0tLSN27cWL9+PZp34dxl8P0anxVZRWZmZn///Tda8woMDOzo6KCs2uzZs1NTU5Go79+/19fXR7NKX6za+/fvCc7uv7lzcaleziaHaQY/YhA6EYvFSkxMJExDksc0cp6GhobFxcU5OTkAABQ8EXDka4dN/D0LHZCHOLSVoqKiAgDw9OnTlJSU6OhoBoMRHBzs4eFx69YtAMDz589/h/3Qv5LvWyv8L27cuIHWaAk8e/asurqa8pLw8PDKyso+lOFr2bZtm5eXV3Jysqura2tr65MnT5SVlR0cHD5//lxUVCQrKzto0CADAwM7O7uMjIx3794NGDBg7ty5NTU1a9euFRAQSE9Px1+CtnJv3769rq7O0dFRUlLy+fPnvb29ixYtEhAQGDRoUEBAAIQwOztbRkbGxsYmJCRERETE19f3wYMHAID9+/dXVVWZmprq6emVlZUlJCQoKSn5+fnhQ10mJCQoKio6ODh4eHjIyMgcPHgwPT1dUVFxxowZ79+/hxCePXtWRkbGxcVl//79cnJyaJdGS0sLFit+6dKlnz59Qsd0Ot3MzGz79u0RERFeXl6omZydnQcMGLBz504nJ6dRo0YVFBSkpKQoKSn1799/woQJVVVVVVVVdnZ2gwcPzsvLO3v2LB8fn6+vLxYLs7W11c/PDwAQHh7e1tZGp9NXrFjh4eFx9+7d7du3t7W1lZWVWVhYDBo0iPCxblFRkZ6e3rRp06qqqs6ePQsAOHLkSHV1taWl5ciRI0tLS8mCYSpKS0uTk5NzcHCoq6vbuHEjPz//48eP379/r6OjIykpaWBgEBMTw2Kx0Bb127dvl5WVGRsb6+vrFxUVRUZGAgBOnjyZlZVFaBcI4aRJk6ZPn56WloYGaF9fXzqdfvLkSWFhYRUVleXLl6OPaIYOHWpiYnL8+PGRI0fOnTv3zZs3EydOHDhwINpIh7Fv3z4BAYHBgwc7Ojp2dXXFx8ebm5t3dXU1NDQoKSlNnz69urrax8dHW1v7xIkTx44dQzIQmjg2NlZaWlpVVdXMzAydmTZt2tmzZx8+fLh9+3aCVbe0tOAlLy8vnzZt2rlz50JCQlCMVUqrJvQLJpMpISFB6N0NDQ0BAQEAgL/++uvly5eUNowlfvLkiYCAAOoaK1euFBYWfvLkSV5enpKS0uLFiz9//kxQYHt7+759+/T09C5evLhmzRqUPjc3V0VFZfbs2S0tLQQlfNF4yP0CM578/HxLS8vhw4fn5+dz01vR0tjOnTvxWz89PT2R1eXl5fXv33/+/Pnt7e1kbSMb0NPTu3z5MlmkhoYGRUVFV1fXvLy8DRs2CAsLx8XFIe1NmTLl5s2bvr6+qBUoiyOYAUZ6erqSktLMmTPfvHmDZZufn6+lpTVnzpzKysoFCxbIycldu3aN0GXwmeTm5uro6EyaNOn169eELkxWUWVlpZGRkaioqL6+Pop5z65qAQEBDg4O9+/f37FjR1FREZdVc3Z2lpSUJIQ6/rbORaleSmMmmFxjY+P06dO1tbXfvXuHpveOHj2KjRhPnz4ldKLi4mI+Pr5Dhw7hZSaMaRkZGZR5Hjp0CPWUlStXDhgwAKnu+4dN9Cbs4eHR3Nzc2NiIbxfyEDdr1ixBQUFdXd0DBw5ACO/evTt//vzHjx97eXmhUU5dXd3Kygr+wfTl41RhYeG5c+cYDAbhfFtbGwrhTqC4uNjf3//du3d9KMPXwiGq/NOnT+/fv19WVpabm5uSkrJjx47vKai1tRXvjKSrqwspqq2tDe0Np4QyNjuTyWxqaoIQsvNugn+ywZeIDshxyLu7u7FL8BdiIe7RcUNDAzs5v0hXVxelDXwtZMG+GL6+vr7+i5HkMcjtgrbykFP29PTgg6izWCwkSXd3N2evM93d3Zyjr/v4+CxfvpxgMASYTCZ+Fz+Tyezq6sJ0wsGqEc3NzchnAYf8CTkQLKTPoVQg58YlKOGLkPsFu/y/rbeyg6xtrFyySN3d3eya5osdkGAG38xXdRkEpYoaGhrw6mJXNWxA4wChaiwWC3s8xfM9nYub8Y0bk8NGDHIn+vTp07Vr1wjpyWMaJd3d3eg702+wwG8YNiFpiIMQNjc3d3d3o2NkIXht0Ol0tPX+j6WPY/ZFR0eLi4tjezk5Ex4e3tTUZGdnh/fP9Pswbtw4Hx8f9LhdWFiYn5+/YMGCXy0Uj/99du3ahdxt/GpBePD4TXnz5g2NRtPV1f3aC39t57p165atrS15Yfp/g0ePHo0ePVpGRuZXC/LL6ON2nTFjhri4+IMHDzh8AoNgMpmtra1iYmJKSkp9K0NfsX///vPnz48dO3bBggUFBQW8ZykeP4GPHz/m5uZ++HRWiCYAAQAASURBVPABfSfLgwcPMnp6et/wLPXLO9fcuXP/V5+lAABTpkz5k5+lAAB9PDuFQO6bxcTEOCerra0VFRWVkJDocwF48ODBgwcPHjx+Gj/kcYoHDx48ePDgwePP4X924rEP+aJ/ka9K1ldQFod2Kf6E0r/4se5Pk+RfB2c7+clWxIMHDx48+gTe4xQnSktL58+fv2jRoi+mvHbtGvLt8dPQ1dV99OgR4eTatWt37dr1Q8uNjY09e/bsxIkTOWznDA8PV1NT+9N9kFBRUVEhJSWFRSrFw72x8eDBgweP341fvNhXU1ODolv8tvj6+r58+RK5KSPz7NkzFK2ls7Ozurqa4IPuh/Lu3buBAwcip6np6enjxo0DAFRVVQkLCxMit/QhLBZLU1MTxa1jMBjI5T2Z9vZ2CQmJuro6ypAI3wOm8H8vr1+/Hj58OOVPnI2NBw8ePHj8tvzi2Sks7N0vBIWB7O7uRv9CCFtbW7FfCSGuOjo6MN+1ycnJW7duRcdiYmIoFBQ7CNniQQtnBNfblOnxHuS1tbVRWEBfX9+bN2+ikyoqKlh4QcpMkGPrzs5O/KISciXCTjb8R5r19fU1NTX8/PxycnLkZynM77CAwP/FgmQwGASv93gFApLye3p6CK638RHc8ApHEFw/E3Jj53Af/ifsMf5CBoOB6aS9vR2F8yPT3d2NSqEskZtLdHV18RrgYGw8ePDgwePfwq98nKLT6R8+fPiFAnR1dXl7exsYGBw5ckRGRqaysjImJubgwYOenp4TJ04kPIiUlZWtXbs2PT19+vTpKGLAtWvXKisrAwICKioqvLy8DAwMAAA7d+4UFhZGAQGuX7/u5OTU29vLLtuqqioUBGrlypWGhoYmJiYoIHlAQMDJkydv375taWmJssrNzfXz84uPj7e1tQUApKenjx49OiIiora2Ni4uLjc3NzQ0tKyszMHBYc2aNShzQiYQwn379uno6AQFBdnY2AwdOhQ9xnl7e6ekpOzatevy5cv4+tLp9G3btt28edPf33/OnDkNDQ01NTVBQUEMBiMgICApKQmfOD09/cCBAzExMePHj3/16hU6GRkZ6ezsrKKikpycTFZgZWXl/PnzFy9evGjRIn19/Z6enhUrVqSkpLi6umJxbC5dunTmzJng4GArK6vW1lZM4S0tLUVFRV5eXv7+/iNHjszPzyfkRlAXHj8/v/Dw8IsXL6JwN1lZWaNHj969e7eZmdnatWu7urp27dp15swZExMTLAIugslk7t27NzIyctOmTVu3biUYz+PHj+Xl5aOiourr65cuXWphYUG+BAAQGhqqpqb26dMnAEBsbOzevXuTk5PNzMx+dFw8Hjx48ODxY+lDl6BhYWEBX4O/v/8vd6L66NEjcXHxurq6hoaG2tpaKyur8vLy8vJyLS2tY8eOQQiPHDliZ2cHIQwPD9+5cyc6s2rVKgjhnTt3DA0NUT6PHz/W0NCAEDIYDHV19YcPH0IIL1y48P79e8psMTw8PKZMmQIh7O7uHj58+K5du1JTU1FIVAjhtWvXBg4cyGAwvL29ka5QzhBCMzOzixcvQgjd3Ny2bNmCTnp7ey9evBhCSJnJixcv+vXr19zcDCEcNmzYo0eP6HS6pqYmcpWbkJCAF2z//v0bNmxAx6tXr3ZycoIQlpaW8vHxEXTY1NSkp6eHnOQeOnTo1q1baFoIPcO5ubktX76cUoFeXl4mJiYsFqu+vr64uHjSpEkQwszMzKFDh0IInz59OnfuXFSEo6NjSUkJXuGTJ08uLi4uLy9fsmTJrFmzCLmR1YUxevTouro6CKG4uHhVVRWE0NTU1N3dnclkNjY2uru737p1q7y8/OzZs1JSUnjf0H5+fijP6urqOXPmEIwHQqivr3/nzh0IYWRkpLGxMeUlaJqqtLQUaRVFtLC2to6IiMAbGw8ePHjw+Hch0IdPZoaGhiiQ5L8ItNMIbfG5d+8ejUbLyMgAABw4cICwEcrJyam1tfXOnTtv374lf9eGLdMICAisXbs2KCho6tSp5eXlgwYN4pytkJAQWiUUFhaeN2/e8+fPe3p6DA0N0a/W1tYLFiwoLCxEMczfvHlz6NAhQomE6qCD6OhociaCgoJCQkJSUlIAABUVlfLyciEhIQsLC319/dOnTxMCf0ZFRa1btw4dz5gxY+nSpex0mJaWNmzYMOSebseOHeA/i1/I2f3AgQNTU1MpFSgiIqKlpUWj0fr379+/f/+HDx/Gx8cXFBSg1b1bt25h7vXRRBE279Xc3FxSUoKCts6cOROtb+JzI6sLIysr68WLF6mpqdgyorCwMJJfRkYmPj5eR0cnIyNDVlb2/PnzDAYDU2lkZGRYWBgAQElJCQUHxRsPJeRLBAQEMD9+QUFBZWVlN2/erKur+6LbWx48ePDg8TvTl49TOjo6WVlZ8vLyQ4YMQdt6OAAhbGxszM7O7kMBvhO0Ecfe3h79S9h5k5ube+zYseDg4I8fP2ZmZnLIZ+XKlQcOHEhOTh4xYsQXs8XDz88vLy9Po9GqqqrQGQkJCX5+fhERkSFDhmRmZq5YsWL06NHPnz//4hZvykwIG4YQoaGh/v7+8+fP37Nnz+bNmylzkJWVFRERYVdWY2Pj58+fsX8hm21YnBXY1tbm5OR0+vRpJSWlf/75B2UrKipKmW1ra2tTU5ONjQ3apNXT00PwLzBy5Eh26lqzZs28efNsbW0FBQXJora0tOjq6o4ZMwb9i28sVE09PT3O1cRDvgTfL8LCwsrLy728vMLDw7nJjQcPHjx4/Lb05d4pPj6+MWPG6OnpaWlpDf0SWlpaJiYm3xAooM/B7mRGRkYJCQkPHz4EANTU1ISEhOCTHTlyREtLCz2UoK3EoqKi2AMK/nYoLy8/e/bsTZs2zZ49+4vZAgCwjckpKSnz58+fPXt2amoqegh7//69vr7+4MGDw8PDhwwZkpycPHjw4GfPnuFLpBSDMhNyoc3NzdHR0Zs2bYqLi0PzKBhz5sy5d+8eOi4sLEQ7jdCUJkH+cePGZWRkoNmXjx8/Xr9+HV8E9qBDViBe4OvXr7e3t6upqWG/mpubBwcHFxUVAQAePnyYl5eH1VRNTU1UVHTv3r0AAAaDcfjwYTTlg+VGVheipKTk0qVL5ubmDAYDBRMliDFmzBhPT080eRYcHNzY2Ihda2Zm9vfff6OF0cDAQOTsAK8NaWlptAXq48ePaFGP8hIMT09P5FwDrxCMly9fEnbl8+DBgweP35e+XTtkMpnZ2dncp3/z5k3fCvBVtLe3r1u3jkajYVG+9+3bJyAgMHjwYEdHx66urtLS0okTJw4cODAnJ+fs2bMyMjIuLi779++Xk5OLiopqaGhQVFR0dXXNy8vbsGGDsLBwXFwcyufp06donxBltngZfHx8tLW1T5w4cezYMV9fX3QyICDAwcHh/v37O3bsKCoqghBu27bNy8srOTnZ1dW1tbX1yZMnysrKDg4Onz9/TkhIUFJS8vPzy8/Pt7S0HD58eH5+PmUmnp6e/Pz8jx8/zsvL69+///z58ysqKoyMjO7evRsUFITmSDDodPqKFSs8PDzu3r27ffv2tra21tZWPz8/AEB4eDgh+PnJkyeFhYVVVFSWL1/e29uLnswOHTr0+fNnS0vLoUOHFhcXExR44cIFCwuLQYMGPXv2DEKYnZ0tIyNjY2MTEhIiIiLi6+vb29u7aNEiAQGBQYMGBQQEQAgxhZeVlcXGxkpLS6uqqpqZmb1//76srAyfG0FdmJzd3d1Dhw41MTE5fvz4yJEj586dm5iYqKioOGPGjPfv30MI379/r6OjIykpaWBgEBMTg69jZWWlkZGRqKiovr5+SkoK2XgiIiJUVVVtbGw8PT0HDhz4/PlzwiUsFgs9TPv6+tLpdGdn5wEDBuzcudPJyWnUqFGPHj3CjI3JZEpISKCdVTx48ODB4/en7/1OsVisf3WURzqdTqfT8e4GMNrb2/v16wcAaGtrQ6EG6XS6gIAAPz8/ZT7YthsO2e7evbuiouLEiRPCwsL47VAsFqu1tVVaWhr7F0LY2tpKGWOyo6NDXFycfJ6QCSUoWzExMUFBQfKv3d3dLBbri+EXwX98IlDqDYOsQEJZAgICAgIC7e3t4uLiaF2sra0Nrxm8wlksVlNTE6WTLQ7qghB2dnaKi4vT6XQajUa5Ba2hoUFGRobSjBsbG2VkZNitZXd2dgoJCbFYLEFBQSwNh0uQHiCEHR0dSDMYmK548ODBg8fvDy9m3y9m165dnz594uBhnAcPHjx48ODxm/Mvnkb6H+Djx4+5ubkfPnx48eLFr5aFBw8ePHjw4PGN8GanePDgwYMHDx48votfOTvV0NDAwWsADx48ePDgwYPHv4Jf9jhVUFBw5cqV0NDQP/xrcILDpH9F0b9QZg78VlKRHR/8Kigl+VW64lAu5U//xt7Rh8X9ViaNBxPsi2JzTtm3oA9QfnQp3FTkl6gF/ifoAvf8PsPU/wa/7HEKBadjMBi/3B80i8UKCAhYsGDB5s2bvb29lyxZYmdn93OKvnr16rRp035OWXg+ffpka2u7ffv2b7i2vLxcRkbmt3oIptPp27dvR2HyfhPWrFmzf//+Xy0FuHTpkqqqanNzM/7kL7E6DiaXkpKipaVFiAL59OlTIyOj0NDQnyQfjtbW1p07dw4fPvznFPe7Vf+LYPYTEBCgoKBACBaO/VpaWurg4LBixQp0XldXF0VH+EFcuHBBVVWVEBO9b6mqqrK1tUWBH9jR3t6+fv16cv/C1IJv2T4cS+/fvx8SEjJ+/Pg7d+5wf9VvMkz97/CrPDR0d3c/f/68sLDwVwmAYWNjM3fuXDqdjv5NTk7GAsP9INLT09FBR0cHcnf089myZYubm9s3XMhisV69etXn8nwnd+7cwWIU/g5UVlaiQH7syMjI+AlioJeWpqYm/MlfZXUcTG7QoEGEkJEQwokTJ547d+6L2WK9iUu40fyTJ09UVFS+Ktvv4Xuq//PB7Ke8vBwAwGAwKH+FEO7Zs2fhwoXouLCwsKenBx3/CONva2sjm3qf4+bm9sVhMzw8fPz48YSTeLVgLYsfSxsbG7/5btjb26upqQkhrK6uRgFJueSLwxSPr+KXzU4JCwsbGxtra2v/KgEQYWFh8fHxp0+fxvwPTZgwYe7cuViCtrY2wnwscplNGbAFD+E9CU3D0un0pKQkT09PdFJMTExdXR0d9/b2slgsBoNBeFnp6OggvP/haW1tJZwhCAYhJJzp7e3t7OxE4VnwV+GrieqIefGGEGLHNBpNR0cHP0vMThVYlbE8CVvlCP8SZEBnIG72npAhk8nEcsCqQ+lhHLBpNYJymEwmi8Xq6ekhxGRk15SUtUCoqKhgjrXILbt///779+9jiVksFroZkGGxWL29vRBCrJSOjg68TsjtS6mWnp4erHS81QE2miG3BT5/FouFwjIiAQjC0+l0ggIpTQ5vuugnJpOJZQtIUSkpJx7wvYlDMgyC5tnJQyiaPIPOoRSCnbPr199Z/d7eXnYrO4ReAwDo6uoijCHkjkBoxO7ubnwm+H8x+8EatKurC+t0eOvCVwEb6jk0ARmCeXNQJsG68JcQFEVuO8IoSgiZgBcAK4VwCd7msTT4KAiUasHG0p6enoULF6LHU24gjBg1NTUofoOSkhIh/hihHQnVwQ9TgM1dgDw0EYyHPLD/sfzpjhKioqJGjRqlqKiIP+nh4QEAKCsrc3Nze/jw4fLly/fs2QMAKCgoGDlypJeX1/r16wcNGnTt2rWioqLBgwcvXryYyWQ2NjZOnDixsLCwsLBw165dx44dMzAwKC4urqysnDdv3ooVK+zt7U1NTa9evfrx48eAgICamhpPT08TExMkhqKiYnBwsJOTk6qqaklJCZJk48aN165dW7hw4V9//YU8kuMl37dvX2JiopmZGbL4qqoqLy+vmJgYa2trFB9m3759V65cCQwMXLlyJboqODj45MmTly5devDgATrT2dnp4+Nz+vRpY2Pje/fuNTc3r1ixYsaMGceOHbOzs7OwsHj48KGbm9uQIUPQNHJISIiamlptbS0AIC0t7cCBA/fv3x8/fvz79+8x2fBVNjMzAwCcPn36xIkTs2fP9vLyAgDk5OQcPHgwNjZ2/vz5ZBkAAO/fv1+3bt2zZ8+mTJmSl5dHzvDixYtBQUGnTp2aM2cOGlt7e3sPHDgwZ84cLS0tfIevqqqaPXu2g4PD8uXL9fX1J02ahO6OBOWEhoYqKysfOnRo5syZCgoKt27dAgBwaEozMzNCLTDKysrs7e03btxI2bK1tbVxcXFZWVlXrlwBAJw4ceLMmTM3btyYPHlyYWEhPp/ExEQVFZXTp09v2bJl6NChERERBw8etLe3NzIyQmM9uX3JagEAXLt2zcnJSVlZOSsrq62tDbM6sj1TtgWe8PBwNTW1c+fOaWpqxsbGRkdHHzp0aMuWLVZWVt3d3d3d3cuWLUtNTV25ciW2UEU2ObLpAgBiY2OnTp2qoKBw/PhxQqGEVsDOs1gsrDd1dnYSkuXl5Q0ZMsTJyamiosLY2Dg7O5ugeQ5dCaOtrc3d3T05OdnOzq6mpgYA8PjxYy8vr/j4eCsrK/JjAcHOKfv191c/LCzsxo0boaGhhEdJQq8BADCZzD179ty6dWvt2rU+Pj6AapQgNCIAYNeuXSkpKR4eHrdv3yb8i7cfxKFDhyZOnKioqPjkyRPyr4j09HQDA4Nbt27hmyA7O1tFRcXNzY1Op7e0tEybNg1FlMIgmDelMj9//uzq6hoXF0dQBYKgKLImCW2RmZlpYGCwd+9eExMTd3d3sq4AADU1NZs3bx47dizq9ZQ2T6fTly9fPnLkyJEjR1ZWVrJTCzaWvnr1Kicn5+7du8nJyWFhYSIiIshEUVgOwqMbYcSoqak5e/Zsd3d3QEBAWloaPiWhHQnDNX6YIvT6hoaG+fPnL1iwwMvLa8yYMWvXrkUZkgd8gsH/6fyKKbHfCD09PTs7O8qfLCwsoqKiIIS9vb1qamq3b9+GEE6dOnXPnj0QwgsXLsyYMQNCePLkSQsLCwghnU7fu3cvhHDy5Mnv378vLy+fN2+es7MzhNDd3X3ixIkQwvr6+sjISGwq+MGDB1paWuhYSEjoyZMnEEInJ6d//vkHQvjs2bORI0dCCPPy8sTExAiT6itXrkQLBBYWFigaydSpU1HQnnv37vn5+UEIR40a1dTUxGQy+fj4Ojs7c3JyZs6ciS5fvnw5mrXesWPHvXv3ysvLjx8/rq6uDiEMDg42NjaGEDKZzH79+t28eRNCePbs2Tlz5qBqAgCqq6ubmppGjBiBtn/6+Pg8fPgQLx6+ynFxce7u7uXl5RkZGQCA9+/fe3l5nTlzBkKIqkCWITQ09O+//0Y5b9++nZBhWlra/PnzkYRz586trq6OiopSV1dHMzcDBgxADYexbds2KysrCGFHR8fgwYP9/f3JykGvks+fP0eVlZOT6+3t5dyUhFrg8fDwcHFxYdey69atQzGIkpKSRo8ejZIFBweT1yuVlZVR4x4+fHjEiBFMJhNCqKSklJubS64CWS3obo0WFJYsWbJlyxaC1ZHtmdwWeFDrJycnt7a2VlRUzJw5s7y8vLy8XE1NLSQkpLCw8K+//kL1GjNmDISQ0uTIpqulpYU0+ejRIz4+vg8fPkAIp02bhtZEyK2Age9N5GSJiYnKysoHDx5EYZfwmsdDlic9PR0t9j169GjevHkQwjdv3qCVETk5ObSi9O7dOzExsYqKCiwfsp1Ttv73V9/U1PTt27eQZHjkXuPr63v69GkIYWlp6YIFCyBplKipqSE0Ip1OHzx4MJoUT0xMJPyLt5/q6moAAJLEy8tr4MCBBOvy8/PDFvtMTEyuXr1KaAIfHx8bGxtkV0hgPATzplTmnDlzMjMz4X9WHgmLfQRFkTVJbouxY8f+/fffvb29zc3N5BF1y5Ytc+fOhRCWlZUBANra2sg2f/XqVTU1te7u7t7e3gkTJixbtoygFqxlsbEUQqirq4u1poWFBRqjMjMzL1++jK8R5YhRXFwsJiZG0B6h4SiHa2yYIvd6X1/fSZMmsVis9+/fS0pK9vb2knOgNPg/GeoJ0u+ht7e3rq6On59fTk6OEKajtrY2JyensbFRWFhYSUlp9OjR+DAsvwQ5OTnKKdb29vaUlJSrV68CAPj5+adOnRoXF2draysoKKigoAAAUFFRQRcuXbp0586d6G3Yzs6uubm5tLQ0OzsbAODg4IBCoAgLC2tpaQEACBFR8JPhAgICWM6fPn0CANBotKKiIgaDoaOjw8/PT4hScu7cuQ8fPty6daupqamzs7Otre3Vq1copPTs2bNR9OWcnJyMjAzUXTs7OyMjI/X19bGKozfR+Pj4ESNGZGRkqKmpHT9+HAVIQeFN+Pj4FBQUkMySkpIovi8mc1pamq6uLpIKzd7hwVc5Li5OVFQUdbnIyEhxcfG5c+dOmjTpzZs3vr6+lDIsWbKkpaXl9u3bxcXFsrKyhAxv375taWmJJLx58yYqUUZGBgXDGTBgAGHztZCQkIaGBgBATEzMxsbm5cuXZOVISUkBAFCyRYsWrV69+s2bN5ybklAL7lsWIzo62sDAAB1bWVm5uLhUV1crKytjCQQFBdFsvLKyMhb3BmsLQhXIasEiRiO1VFRUEGQj2zO5Lc6fP48mw2xsbJSUlAAA2traEhISjx8/BgCgZj1+/PiwYcO0tbWjo6Pj4uJycnLQFCClyRFMF/06dOhQAMDkyZPV1NQyMzMHDhyIzlN2KDKUySwtLa2srFJTU93d3SmvQlDKgxg3btzatWunTZt25swZFRWVmJgYaWlpFLVJS0tLUVExJSXF0dERJSbbOWXrf3/1ly5dOn78+H379q1fvx4vLbnX3Lx5MyIiAgCgqal59epV8iiBIpfjG1FISMjExGTkyJFnzpyZOnUqAIDwL2EVEkm+cuXKAwcO1NbWUkZtIl+F2LBhw4ABA0pKSt6+fTtnzhzCrwTzFhUVJSiTTqdHRUVFRkYCAAiLXAi8oig1SW4LYWFhbW1tfn5+Pj4+8ogKAFBVVQUADBgwALUO2eYBABoaGujWtnTp0kOHDrGrPjtdbd++fcOGDevXr4+JiSHsfKccMSgzIbRjdHQ0ebjGBKC8C8jJydFoNBUVldbW1ra2NvKAv3HjRrLB/8n08ePU27dvk5KS0PqrrKystbU16tUAgNzc3JSUFCxlRUVFcXGxra0t5yhvP5rx48efOnWKHEIOGc3nz59VVFQAALKysux2KkhISCxatOjcuXOSkpL29vYfP35samqytbVFceXIS9fcM3bsWBcXl02bNmloaAQFBREiA4aEhNTV1bm7u6P32qampubmZixQIISQRqOtWrXKycnJ1taWRqNBCOvr68mB+VpaWvT09LAuymEVnFCRxsZGtPyB/coukl1LS4umpqa9vT1WhKKiYkZGxvLly8eOHfvixQuyDG/fvj116tTZs2ffvn1LHi/IRbOTmYyAgIC8vDwAgKAcfBoajcbPzy8gIMC5KQ0MDPC1IEch/CI0Gu3z58/oGPUUUVFRbi5EkhCq8D1qwSC3BdqwQs6wpaWFRqPhm7WlpWXx4sVBQUESEhJotYLS5AimS/hVXl4ef2tsaWkhtwLZ0tglk5OTu3v3bmpqqrm5Obsqc5BHTEwsKytr48aNo0ePTkxMpNFoNTU1mACysrL49iLb+dcWx2X1V65cqaKisnbt2vT0dPzC5cuXLwm9BpkE2rdEOUqQGxEAEBYWduzYMVtb22PHjrm4uBD+payUvLw8Pz8/5/CgZOTk5JydnY8dOyYnJ7d3717Crxx6KKKpqQmFJWX3kI1XlK+vL1mTFy9eZNcWlCMquQiyzeMhtCaXzJgxY8eOHeiNiDAgUI4Y+E1aePANJyIiwmG45uYuQB5euDT4P4e+3DtVVVX16NGj/v37jxgxYtiwYZ2dnXfv3kUP7Dk5OehZSkpKasqUKQsWLJg5c6aYmBhhrffns337djExMfy6O5PJvHr1qri4+MSJE6Ojo9HJd+/eYUaDwO93dnV1vXDhAnpfUVNTExISQvuc6HT6iRMnkNVifVVUVBTb2UM5RmA5d3d3y8nJ+fv7u7u7L1y4kJDM29t7woQJ4D+br9XV1RUUFHbt2oXOBAUFFRcXX7161dTUtLOzk8VisVgsIyOj+/fvoxbp6upCOw2NjIw8PT3RSuKpU6fwm2EphcT+HTduXGpqakxMDNJPVFQUuwvHjBlz7NgxNL4nJCRkZ2dfuXJFW1s7NTVVXl4+OzubLMPRo0eHDRsmLCzc1taGKQTL0Nzc/MyZMx8+fAAA3Lt3D22DwJJR7qHGfk1NTbW3tycrB5/s6dOnU6ZM0dbW5tyUhFpwUBpBBswGZs2alZycjEbDwsJCS0tLDjckQp7kKlCqBSsXUwtn2chtsW7dOldXV1dXV2zaDOVgZGQUHx+PvvAvLy+PiIi4ceNGd3e3srIy9kEApckRTBcvBgq5PX78eOwMuw5F0CRlstDQUAcHhyNHjqxYsQIZNr73YXCQJyYmhsViXbx40dXVNTo6evz48QICAuiDfwaD0draOnHiRCwx2c4pNfz91b9y5Yq1tXVOTk5cXBze2sm9xszMbPfu3R0dHSwW6/Tp04qKioRRgtyIzc3NcXFx27Ztu3v3LvlfwMZ+Xr9+PW/ePCEhIXYP8ZQDIABg+/btly9fJj8PseuheGUqKSmpqKigPX/oXk74BgKvKGVlZbImKdsCiUoeUfFFY2on2zxBLc7OzuyUhj+JVwuNRnN3d3d1dUXTgXgoRwzKzAkNRzlcYxdyuAtglSLnwNng/0T6cOHw7t27aOsJoqenJzo6Oj4+vqyszN/f39/f/8qVK2gJHNHb2xseHo72u/xCKisrZ8yYMW3atEOHDvn6+u7duxd9a1pWVjZlypSQkJCzZ8+id5d3796pqanNnz+/pqZm6dKlkpKSaAsLhHDmzJnogxoIYXR0tJSUlJqamqWlZUVFRVlZmampqba29osXLyCEtbW1ioqKmzZtevXq1bp168TFxRMSEmJjYwEABw8erKysHD16tLGxcXV1dUFBgYyMzKBBgwwMDBwcHPLy8vBiL1y4cNCgQd7e3vb29iYmJmVlZcnJyQoKCnJyclOnTkUe5wcPHjx+/PiAgIChQ4c6Ozt3dnba2Njo6uouX7582rRpU6dOLSsrKy4u1tbWlpKSGj16dFJSUkNDg729vYaGxuvXr9PS0gQFBV1cXD5//uzk5KSkpJSfn3/u3DkAwD///MNgME6cOCEsLKymprZhwwa0po4gVLmrq2vGjBlCQkJ6enpoT8C2bdt8fHySk5Pd3Ny6uroIMkAIAwMDZWVl16xZ4+3traKiggZWLEMGg+Ho6CggIDBkyJDQ0NDu7u5Vq1aJioqmpaVlZmbKyMgsWrSoq6sLk2fnzp26urqnTp06ePDgiRMnkEgE5aDheP369aGhoS4uLp8+ffpiUxJqgRVXWFhoYWFhYGDw5s0bypaNj49XUVE5fPhwT0/P8ePHHR0d79+/v337dlQoRmJiIj8/v6enZ01NzYIFC2RkZJ4/f56eni4iIrJ9+/bGxkZyFfBqgRBevHgRAHD8+PGKigo084+3Okp7JrcFngsXLgAAfHx82traIIQ+Pj6ouGXLlvX09GRlZcnIyNjZ2Z07d05UVDQgIKCnp4dscmTTXb9+vYODw5UrV/7++29k5+np6YqKira2ttXV1YRWwMuD9aaKigpCsri4uMmTJ9Pp9NraWmlp6Xnz5jU0NOA1z64rvX79ev369Xx8fHFxcXfv3nV0dExMTPT09ETfsT9+/HjKlCm3bt3au3dvcnIyXhiynVO2/vdX38rK6vz58/Hx8bt27cILQOg1SUlJFRUVhoaGYmJiBgYGWVlZEELCKEFuxKamJmNj4/v3758+fRqtguH/bWhowOynq6tr/PjxHh4eERERXl5eDQ0N+F9LS0snTJigpaWVn5+fnJysqKjo5ORUW1tLbgIbG5vy8nKCpZF7KHoCICjzwYMHCgoKCxYs2LFjh4yMDBqoMQiKImuS0BZ37tyRl5e3sbEpKysj66qysnLcuHEjR4788OFDSEgIAODUqVNkm8/Pz9fX1w8ICAgJCTl8+DCTycSrBWvZyspK/Fjq4+Ojr69//fp1JHlvb+/YsWMhFYQRo7W19cCBAwCAGzdu4G+vhIaDEBKGa/wwRej1jY2N06ZN09XVLSkpQUJevHiRnAPZ4P9w+vJx6sqVK/h7KoSQyWRev379zJkz/v7+QUFBLS0thEueP39OGB9/FT09Pe/fv0cfpeNpbm5G+385g6aOMVAXYpe4q6uLmzxTU1NjY2NLS0tzcnKSk5N9fHwICdAtjclkYk9yLBYLXy6TyURPq52dndhO9ubm5t7eXszPFqK+vp7QdlxCp9NbW1u5Sdnc3IwNoEwmE+1t5CADqh2EkF3+ra2t+JsiB3bu3Oni4tLS0oJPT1AOWsytrKxsbGzEX8uhKSlrwSVYk0EI0b7Xb8iEsn25VwsHuLeHrq4ufAOhxUH4361GNjmy6aJvY9mVwqEV8L2Jc79D4DXPQR4sQwhhfX09IT2HUvB2zo7vrD7yhcGhIvC/9d/Q0IBvTcIoAUmNyGKxmpqaMIsi/EuAnSQcIKTftm0bZTJK86ZMhvogYUyDVIoiWwi7pkeQdUWGnc1zkJkSvACfP38+evQou5RcjhjkhuM8XHPT68k5cGPwfwh9GQL51q1beI9NiPv376OPIGbOnDlo0CDCry9fvpSUlESbGXkQGDdu3N69e6dMmcJisV6/fl1aWmpjY/OrhfpX4unpWVdXd/78eQ5penp6hIWFKyoq0FZTHjx4/FDq6+ujoqIaGhoMDQ0nTZr0q8X5XcjPzy8sLHzy5Mm+ffuwncc8/hX05d4pGo1GWDx++fIlepbq168f+ryIwKdPn9AXVTzI7Nu3LzAw0MTEZOHChRUVFbxnqW/j48ePr169Kikp4by0Hx4erqGhce3aNbJnVB48ePQ5dXV1J06c6O7u5j1L4Xn79u2+ffvwX3Hx+LfQl7NTycnJIiIiyFkZi8XKzs5+9uwZAGDAgAFKSkqfPn2ysrLCvn5isVhZWVkvX75cuXIl+dsfHjx48ODBgwePfwt9+TjV2dl56dIlSUlJaWnpuro69JavoqJiY2MjICCAtgENGDBASkqqq6ururq6paVl3LhxY8aM6SsBfltYLBaNRmPnRwAPk8kkOET4Zr42K27S9/T0sPOV0of0oRLwfK3weDEoj3+QnAT6XOffLDb3Zvyn8Q0q7e3t5ePjI3jmo8zw55hZn0AW9TcU/peb8Y8YmTHQJh6CXXGZw/c032/Y0D+fvlzsExMTmzt3LtrTjZ6lhg0bhp6lAAB//fXXoEGDPnz4kJOTU1hY2NLSoq+vb2ho2IcC/J5cvnxZTU0N77GDktbWVm9v76/aRlZQUDBmzJjly5evWbNm9OjRy5Ytc3FxMTExefDggbu7+9ixY7nP6tq1axYWFhwSdHd379u3z9/fX09Pj0MMwe/ni5J8Aw8ePDh79uzEiROxKBDci4HcSTs5OQEAnj59OnbsWPTJdEVFhaSk5BdDN34PZWVlBw8edHFxwWLIfCd0On3Xrl0jRoz4tsvXrl3r7e3dJ5L8z1BWVmZlZfW1ajl16lRERMTgwYMLCgoIP+HHAbzt/eZkZ2ePHTsW37/a29tdXV0nT57864SigMvR+AeBH0C4IScnx9TU9MSJE1ymv379uoaGBnKVguDSPl++fGlgYIC5REZwOcR956jyP0Wfb25nsVi1tbXv37+n/PSgsrIyOzv79evX5I9l/ldBgT6Qb1/OPH/+XFZWlvucnzx5EhwcDCEsLS0FAKSmpkIIHz58ePny5aioKCymATd0dHSUlJRwSBAcHIyikWDxOvqWp0+fcinJ18JisQYMGNDb21tfX19VVcXlVXgxDh06hEUisrKyOnXqFDr+QarAcHR0fPLkCYPBQIEy+oTU1FQUPuUbqKys/Kp49f+TPHv2jHDGxcVlx44d3Ofw7t07S0tLCGFxcTH+y3YM/DiAt73fnEmTJqHYKRhXr15F4ap+Oc3NzShcDPej8Q8CP4Bwg42NzZEjR7hMzGQyBQQEiouL8Se5tE9DQ0MUBQgPl0Pc94wq/0v0fQhkGo0mLy8/aNAgyj3mKioqBgYGenp67PzY/hKQmzv8GXYOXiEp9PoXwQKMMxgMQrY9PT34oBaENR0IIedt0RoaGgsWLCCcnDJlioGBAT6qOd7RH7s8xcTEUHwVBAomha9pTk4OEg97CyEEZmexWEwmE/P/hnLAu+slvOXgdf7kyZOtW7dSSkIWGOXc2dlJ6a4TkLRaX19fXV3Nz8/fv39/fPwWspDos2qyGPh2wR/r6enhZSAohMlkIk8KhEbn4DuYkENubq6QkJCAgICOjg4h5RfDvFOmaW1txQwDwWAw8LpisVjok2/sJHJDgI5VVFTwnZrFYhFCsmAgb4oEZ809PT1494AoDXqewCcjKAE5sMAu5KA9Qn3JXZVs1RjsGotgS35+foQ3eIDr4IT6EnSLkZeXh3aLDhkyhNIJPjt7+yLkcay7u5sQzoF8hmy3BGeYBJ2gMHCEBAwGg2BagL1myIUCLpqPEoJslDpnMBgLFy5EczYcRmOySBwgi8dgMHp7e7HOQtYSgtCg7e3t5GT4nNkZADn/trY2Go1GXj5m1wqEoRVLhi8dP8Sx6z7kUeWPpe8fpwggs2tsbETObX90cV9LWVkZCkFgbW2NXLTn5ub6+vrGx8eTY0j5+fmFhYWFh4fb2dnhz7e1tRkbG8+YMaOzs9PDw0NSUhJ9RObj43Pq1CmU5ubNm4sXL1ZWVkaRzuh0+rZt2yIjI0+dOjVnzpyGhgZCWTExMX5+fjt37pwwYQK7fq6pqUkObEKj0VCcKSaTiV5tBwwYgCa32eXZ1tbm5eWFnpMKCwsNDAw8PDw2btw4dOjQwMBAAEBUVNTLly/T0tICAgI6OjqSk5M9PT0fPnw4c+ZM5Cj5ypUr6urqZ8+eHTJkyLlz51auXPnXX3+dOHFiwYIFBgYGiYmJ27ZtGzFihL+/P1nnLBbr2rVrlZWVAQEBFRUVmCQAgICAgJMnT965c2fSpEk5OTkQwn379uno6AQFBdna2g4ePJjgw52s1ZqamsDAQAaDERAQgFw/I0pKSkxNTV1dXffu3WthYbF27dqrV6+uWbNGU1MzIyMDrxB2hIaGqqmpoXlBskJiYmIUFRWDgoKWLFmiqqqK7IGDaZFzCAoK+vz58/Xr1y9fvoxPGRcXt2fPnuTkZDMzs9raWgDA58+fd+7cGRMTY2NjgxKT0zx//nzr1q1RUVH4hYMzZ84cP3583rx5GzZsAAAkJiaqqqqeOHFi+/btOjo6586dO3r0qJOT09ChQ1tbW8vKyhwcHLBlx0uXLp0+ffr8+fPTpk3Dj7AvXrzQ19fftm2bvb39wIEDUfqenp4VK1akpKRs2rTpxIkTKN7tyJEjvb29p06dqqKigqIoFhUVeXl5nTx5cuTIkXl5eZWVlfPnz1+8eLGTk9OIESM4aC89PX3fvn2xsbGmpqZ5eXmA1FUprRqDsrHItlRXVxcbG5ubm0teMi4vL7exsRk0aND06dPR7ZygW4zs7Ox79+6VlZUFBAQgf6HGxsYAgCdPnqDolpTGxmQyXVxcJCQk3rx5AwB48OCBo6Mj/m5KHseYTObevXtv3LixZcuWTZs2UZ4hKBwAEBYWFhERceXKlY0bNwKSxXZ1de3atev06dMmJiYooEpvb6+7u/uNGzeOHz/++vVrsuQ9PT0uLi5GRkZaWlrITT+50C823+vXr+Xl5ZFXhRUrViCv8WR7YKfzV69e5eTkREdHJyQkoDOE0ZggUnZ2toqKyurVq7u7uzs6OmbNmpWVlYXPkCBeVlbW6NGjd+/ebWpqumbNGrKWKPn06ZObm9uDBw/Wrl2LPG9RqgIzgKVLl3p7e79//56cf01Njaura2xsrIeHB+UzHNk+Ke8F2dnZq1evHjp06P79+wFuiGtsbHR0dLS3t0d1dHBwQOkpR5U/mh8x5cVgMAoKCm7fvn3hwoWTJ0/6/4eTJ09eu3YtNTX191npCw8P9/DwgBAeP358+fLlEEJvb2/k4PXRo0eExIaGhihil5SUFMGN79WrV0eNGgUh7O7ulpSUfPfuHYTQ19e3q6sLvQOhsOcbN25cvHgxhHD//v0bNmxA165bt27RokUQwpycHDTJX1tba2VlhcK8a2trf3GyF7/Yh4iLi1NSUkL+1kaOHHnx4kXOeT5+/BibrZ0+fTrSya1btzDPvIsXL963bx+EsLm5WV5eHrVgVVWVqKhoQUEBet+Nj49vb2/v7u4OCQnR19dHHuHU1dUDAwMhhA8ePBg+fDilzu/cuWNoaEiQJDU1FcVLhxBGRkZqamoyGIwXL16Iiooih4fDhw+Pj4/H14JSq6WlpXx8fGSlOTs7u7q6QgjRa2tBQQGE0MPDA53EK+T48ePYgsvs2bPRXD2qcnFxMaVCIISioqIPHjyAELq6urq7u0P2psUuBw0NDXybIlavXh0dHY0kCQ8PhxBOmzYNeed/9OgRUiwhTWdnp66uLpoHioqKQvWKj4/fsmVLeXl5fn4+Zp/q6urIgXJISIi6ujryi2hiYoJOent7L1y4EEL49OlTW1tbJM/ChQuLiorwEpqYmBw4cABCWFZWJiwsnJiYWFxcjJa3cnJyBg0ahIxBVlYW+fVdvXq1ubk5hHDSpElFRUXl5eVLly61traGEHp5eZmYmLBYrPr6enbaa2pq0tXVRZNqhw4dioyMhFRdldKqMciNRWlLbm5uW7ZsIVy7bt06GxsbJIm6uvrhw4cpdYtx8eLFSZMmoeM7d+5gRq6vrx8VFQVx4wDE2V5ra6uUlFRaWhqE8Ny5c4QYCeQ+5efnhwIAfP78edasWSwWi3yGrHAzMzOUM1IyQefu7u43b94sLy8PDg6WkJDo7e09efKkr68vksHQ0JCw2BcZGamsrNzV1cVisWbPnj19+nRyK3PZfPr6+nfu3IG4sYIgG2edY7qlHI3Jeti7d+/kyZMhhCwWCzMDDLJ4pqam7u7uyBcrWUv4a7EBZPLkybdv30ZF6OnpnT9/nlIVKEpSREREQkICyoGcv62tLVqDbm5u5uPjIyz2ke2T8l5gbGyMDu7evauhoQFxQxyE8PDhw+PHj2cymSgKZ1tbG+Wo8ofTx3N0EMKXL1/m5ORQzslDCGtqampqarKzszU1NadMmSImJta3AnwtTk5Ora2tt2/ffvPmDZoLtbe3nzhx4uvXrw8ePEhI/PLlyxcvXjx9+hS568X/ZGdn5+rqmpubKyMjIyMjc/HiRRRzW0REBM2gILdbmpqa6NEnKipq3bp16NqZM2cuWrQInxvqGyhS9/79+7Hw8l+FpKQkmrsaMGBAc3Mz5zzxU8qCgoKKiooAABUVlfLyckK2GRkZ4uLiaK1WWVl5+PDhCQkJw4YN4+Pj09bWRkHFBQUF+/Xrh76dUVZWRkFAJSUl6+rqAJXOKSWJjo7GvlSwtraeN29eQUGBoKCgoKCgjIwMpXictUpAUFAQhd9GK4BISCkpKdRAX1xkERAQQPPq7BQiKCiooKAAAFBVVX316hVgb1rscqAsNygo6OPHjzdv3qytre3o6Ghra8vOzh45ciQAYPLkyWjnLyHN06dP+/Xrh9aVsICscXFx/Pz8WDR4JCpeJxISEkgJWMOhWLAAgFu3bmG+gsjv30JCQmiddMCAAWZmZi9fvrS0tExISIiPj3/37h1qcSEhIWlpaVSWs7PztGnTmpubi4uL0Rv5jBkz+vXrBwAQERHR0tKi0Wj9+/dnp720tLRhw4ahr4p27NiBTpK7KmerJjfWV9mSlpYWAACFsnn27FllZSVZt9+JhITEunXrjhw5YmpqWlhYSPg6gdynIiMjL126BABQVFS8f/8++QylwpctW2Zubu7j44Omrwg6j4+P19bWzsjIkJGRCQkJ6enpuXbtGopqB3CmhUddXV1ERAQAsGrVKmdnZ3KhXDYfGYJslPbMDvxoTKkHV1fXw4cP5+bmtra2kgPnkcUTFhZGY6CMjAxZS+Ql3a6ursTERBSphkajWVtboylSsioAABEREcOHDw8LC0P/EvJva2u7d+8emtKWkpKiXHcj2CfaVku+FyC1oPsFwA1xAABBQUE5OTk+Pr7+/fujMMxlZWXkUeUPpy8fpyCE8fHxxcXFNBoNhToSERERFhYWFhYWEBBgMpkMBqO9vb25ubmmpqasrCwiImL+/Pnk5aqfSW5u7j///HPu3LmqqioU2XTkyJGZmZmrVq0aPXr08+fP8d1yzZo1dnZ2tra25EifQkJCixcvvnDhgry8/M2bN+fMmTN8+HDyqgQGjUarqqpCxzIyMoT+Rhnm/TvpqzxpNFpNTQ2LxUI9jSw8B5DSyDpnVxCmIjExMWFhYcr4tewu+SrByEJyD/cKYWdaX6XSsLCwsrIyHx8ftG+0ubm5paWlq6sLXQIhpNFohDT19fXk9eKWlhYdHR0u7YGgk6amJryE8L+j0+MREBCQl5dva2tbtGhRQECAmpqar68vZZrW1tbm5uY5c+agfUUMBoOwN46d9pqamgiB7mk0GoeuyiXfZksKCgptbW1fpVvu2bRp08CBA5OTkwcPHkz4idynkFqGDx+OEkAICWdaWlrICl++fLmamtratWsTExNjYmIIOm9padHT00Ork6helKZFiby8PGUrR0REfFvzkWX7Np1TGp6MjMyqVauOHDmipaXl5eVFuISzeGQtkQtFnhqqqqrQi4esrKyoqCilJQMArK2tr169GhYWtnjxYnL+paWlLBarpaUFPbZyBrPP778XcN/0fw59uXfqzZs3Hz9+NDc3X7Vq1YIFC6ZMmWJmZjZmzBh9fX1dXd0RI0YYGhpaWFjMnj175cqVdnZ2UlJSjx496kMBvoFjx44NHjxYVFQUi8F+6dKlIUOGJCYmamtro10IiNLS0osXL06YMIHBYKDA74SsXFxcrly5IiwsbGRkpKGhERkZifYwIQhxyOfMmXPv3j10XFhYiFk2wsjIKCEh4cGDBwCA2tpa9BLz8uVLtBmQDMqc0LExCVGhlHliUI5Z+DqiyUwAgImJibi4OGo4CGFlZeX06dM5ZEI+T9Y5/jkJSzx79uzU1FTUY8vKynR0dAh3EXITUGoVk5wzhDTc34M5KIQgJzvTYpcDpeTe3t7IgwPSnpqamoqKiqenJ4Swu7sb7dUjpDE0NCwuLs7JyQEAdHV1oY3GxsbGx48fR/M0GRkZT5484awQ/Blzc/OzZ88WFRUBAB49epSbm0tIiVl7fn6+lZXVzZs3W1paNDQ0sBbHq+XJkyfz5s1TU1MTFxdHc7oMBuPIkSPoXoIVyk5748aNy8jIuHPnDgDg06dP169f59xVOe/gxH6ltKUvPtC/fv3a2dmZs27xzSotLY1CwjEYjOrqasImcQIKCgpLly51cnKaP38+4SdynzIzM9u9ezcKSBccHNzW1kY4IyUlRVb4pUuXpk2blpOT8+LFi8bGRoLOx4wZ4+Hhgezn/Pnz9fX1RkZGaF4E4EyLnWYWL15MbmUum09aWrq+vh4A8PHjR6QlgmycdU5oOPxozM7wtm7deu/ePQEBAcJ8DzvrwtqUrCWyNkRERKZMmYIZWEFBwbx588iqQL9KS0tHRka6ubmhLYaE/AUEBFRVVa9evQoAoNPpLBaLcys4OzuzuxcQblLsQDWlHFX+dPpu3RBevXr1q76j7u3tjYyM/Lbgr33FuXPnZGRkXFxcfH19ZWVl7927t23bNk9Pz+Tk5A0bNuBlo9PpWlpaY8eOPX78uIGBga2tLTmW5F9//VVbWwshvHDhQlhYGDqJJmkPHDjw+fPnyZMnDxo06N27d3Q6fcWKFe7u7nfv3t2+fXtbW1trayuaYEdbBA4cOCAgIDB48OAFCxagr9gkJCRiY2PJVaisrNy2bRsAYNmyZWgXS3d395o1awQFBZOSknJzc1VUVGbOnNnc3EzIE8uhsbFxw4YNQkJCjx8/fvfu3YABA2xsbD5//rx+/Xp+fv6nT5/m5ubq6OhYWlq+evUKQvjkyZPJkyffvHnz4MGDMTExEEK0Odfd3b2pqamxsXH+/PlKSkq5ubmZmZnS0tIODg7V1dVbt27l5+dPS0sj67yhoUFRUXH9+vU5OTmYJBDCgICAefPm3b9/393dHVXN09OTj48vISEhPz9fXl5+3rx5WMxX1EZkrfr5+QEAwsPD8SmLior09PSmTJlSUVGBYvn5+flVVVVNmTJFV1cXL0ZpaenkyZMHDhyYnZ2dkZGhoqIyY8aM8vJyNAYdOXKETqeTFYKGqj179lRXV5ubm+vo6JSWlrIzLUqVRkdHCwoKbt68mbBLb8mSJQMGDNi5c+fixYv19fXfvHmTmpqqpKQkKys7YcIE5AmCnObw4cNKSkrOzs6rVq1SV1ePjo6m0+nojVxXV3f//v1IBgEBgS1bttTV1bm4uAgKCiYmJubn56uqqjo6OmZlZVlaWg4fPrywsLC3t9fJyUlAQGDQoEEBAQEEg7SwsLCysjp37hzapgohRIvgNjY2Fy9eFBER2bdvX1JSkoSExJ49ey5evLh27VrUNHFxcTIyMioqKmZmZiUlJWVlZRYWFgMHDkRONDhoLyAgQFhYWEVFZdmyZSjWMqGrZmdnk60au5yysci2BCFMSEhQVFT09fVFoXkRERER48ePDw0NPXny5KVLl5AdEnSL8enTJwcHByUlJbTjp7e319jY2NjY2M3NzdzcfN26dfX19dg4gLc9zG7t7e3JgwC5T1VVVY0ZM0ZERGTEiBEpKSkQQvIZgsIhhFOnTg0KCkpISNi6dStZ5x8+fNDV1ZWQkDAwMECb8z5+/Kivrz9hwoS1a9caGBgsWbIEH8j5zZs3+vr6/v7+ly5d2r9/PwqUSy70i83X2tp69epVVVVVW1vbXbt2aWpqpqenE2TjoHP4n09YwsLCKEdjskgIR0fH169fE7Iii/f48WNFRUVra2t0LVlLGNgAUlFRUV5ePm3atODg4IsXL2I7WQmqyM/P19LSmjNnTmVl5aJFi2RlZSMiIsj5I7N0cHDYsWNH//79fX198ZGMyfYJSfeXrKwsOTk5e3v72traTZs20Wi0hw8fYkPc58+fp0+fPmTIkMLCQvSQd+jQIQgheVQhW+YfRV8+Tt27d+9rL3n79u379+/7UIZvgBCDHX0vTRndncVioaDf3d3d5OjlEMKuri500NPTQ9iBSElXVxd+XCbQ3d2N9uoS5PweCHl+D18MtM4Bctz77u5uSo1h4eK5h7NWfxxfVAgH0+IyBwRSGovFwtRIjntPTtPd3d3e3t7T04MfaltaWrq7u7kplFIMyl5gYWERHh7e0NCALwh9Sw8hRNMnSUlJgwYN6unpIVgj2utKWRxn7RGy+mJX5RKyLaFsydTX1+PrC79Gt0hybhLHxsY+fPiQ8idyn4IQNjQ0MJlMfDLCGYLCka8QLCtKndfX15PzhBCy03NzczN6kGJXKOSu+To6OhgMBmbAlLJx0Dm7hmMnEoRw48aNlIm5sS6ylihpbm4mjHvkTsFN/iwWC42THOQh2Gef3AsoR5U/lr4MMnP//v3Zs2d/1SXZ2dnKysoEb0A8ePD492Jubr5ixYqlS5dySJOYmLhs2bKPHz/+LKH+9Tx48IBOp9+/fx9NpvL4cTQ2Nt67d6+1tXXgwIFfe0fj8SfTl3unaDQactnCJY2Njbm5ufLy8n0oAw8ePH4hGRkZLS0tT548wUe6INDR0REVFcXHx3f37t0+fJ373+bx48cHDhzAvN3y+HHU19f7+/vX1tbynqV4fBV9OTtVX19/7do1RUVFXV1ddXV19BU0GQaDUVNTU1xc/PbtW0NDw3HjxvWVADx48ODB4w+HyQQvX4Lhw8Gv9sPD48+iLx+nAAAFBQWJiYno0wAhISFxcXFRUVF+fn4+Pr7e3l4UAQD7wkJTU3PWrFm8APU8ePDgwaOv2LMH9PaC69dBSgpQUvrV0vD4Y+jjxykAQH19/fPnzz98+MAhZxkZGUNDQ11dXd6zFBkmk4k8uXH5E4f0BHp6er4qBNjPh8u6cF/l/zEw31R9yL9Xmf9eyX8hv4/SUJi/Pr8FNDQAOh2oqICDB4G6OuDofvW34PdpER7fSd9HLpSTk5sxY0ZbW1t5eXlVVVVraytyziEiIiIhIaGgoKCqqtonboL/92hvb/f29n7z5g0WWwqjrKxs1apVlpaWO3fuxE6mpaW5ublt3LhxyZIlnHMuKiq6d+9eRkaGnp7e3r17+150NvT09KAvgbW0tFB0kdra2vb29mvXrlGmX7VqlZaWloeHB4c8w8PDL1++jD5u/6O4dOmSu7t7SUkJctz8/WRmZq5YscLX13fmzJlcXnLmzJm4uLhRo0Z9/vy5X79+x48fBwBcv37dy8urra1tzZo1yH8PAKC5uXnXrl0yMjLCwsIfPnxYvny5qakpACApKWnPnj00Gm3s2LFtbW0KCgqbN2/GNgY0Nzf7+Pi0tbUpKSl1dnbW1dWNHj2acsNQUFCQj49PVVXVTwi/WltbO3PmzHXr1g0bNszExOQdeLcNbMsG2cPB8OvgujSQfvDgQW5ublxcXHJy8o8W5puh0+leXl6ZmZlkH2M/n2PHjklLS+/fvz8jIwO7HXR3d58+fbqiogLZFQAgLy9vzZo1hYWF06ZNO3/+vKio6PXr1/39/c3MzI4dO4bPcOnSpa9fv968eTPmv765GTg5/cw6fQulpaWjRo1CkVu+4fLOzs6///67trYW6bC6ulpWVtbf359zL4uKioqKitLQ0Ojq6urt7d2zZ4+IiEhDQ0NoaGhERISOjo6GhkZVVZW5ufny5ctpNNqzZ8/++eefioqKTZs2TZw48dy5c/fv39fX11dWVmaxWOrq6itXrsRCJvzR/MKvCnmQuXr16vjx4yl/wqLm4Zk4ceLFixe/mO2cOXNevnzZ2dmJ96rSV6Snp3P4tbu7m4+PD0WXQ3h5ebFLXFFRwe5LeKyU9vZ2NPf5p9HU1AQA6BN/GZgysVhm3FBQUCAvL48+es/NzUWx5HJycg4dOtTQ0BAbGyskJIScZjU2NmpoaNy8eROTXF1dPSIiAv37119/zZs3D0LIZDKdnZ319PTQV9aNjY3q6uqnT59GyVgslru7+65duyiFqa6uBgAg5wscKvgNkK8tLy/HQpKxIOsAPECH9A7YoQ/1/4H/oPMtLS2SkpLfXCj3wnxPJvjgmNxQX19PCMjIZUGcyc3NnTlzJoSwoKAA7ybgzZs3K1asQHEhIYRdXV0bN278+PHj69evhw4diuIEQwj19PT4+fnx/thev34tJyeHDxtXWAhv3+Ze8F8Gi8Uiu7bikra2tmHDhvn4+GBnzp8/7+joiI7Z9bJjx46NGTMG8zt46NAhAwMD5OIHxTJHA0JTU9OQIUMwD147d+5EoWkghIWFhQAA5AuNTqfv3bt38ODBWVlZ31aL/yX6eOHgXwpyIoL9ixy8In8z3FxOmR65SMHOtLe3E9wxI9vF09raSnjVxguG/YQPYkVYvCOXgsjPzxcSEhIVFUWOxZE7InwCdFtCXtdRdfAOfwmJ6XQ65gP30aNH3t7e5BIxUIgh7N/u7m53d3d2iVVVVfFTL1j0A3wp4uLiKLYUAKC3txd5ASb45OUc/YDg2JqzNtBwT6fTCaHa8Q6+AQDIBwyKzwgAgBCyizWGgXYTck6D/AChY0yNeP0TIFQE+eAhpMErE+UJISTohNKQysrKGhoaKisrAQAjR460sbEBALS2tu7YsUNWVnb69OmzZ88uKCgAAOzatUtOTm7u3LnoQmlpaW9vbzc3t9bWVgCAuLg4WuLh4+OztrZ+8+ZNQ0MDAGDTpk0qKipYpDwajbZ//34pKSlyNck9hYNNktuCoBa8AVRWVmJiU8IAjC1gixAQEgNi48H4QWAQOs/NIizZozql4XV2dlJWhEIYBgNVh1wRDHyNMKURRjzKC3t6ehwdHVFzY1dx8CnPQXXIPxP2LxqOAABYiDqErq6upqYm9u/79+937dqloaGhp6e3adMmZFoAgAkTJigrK/v7+2MpL1y44OzsjA0d9fWgtBTY2oLmZqIkHLoz/l9CQ1BWHz9KgK8J1YLv+DQabdiwYVhboFsGwVzb29spPZXv3r2byWT6+PhgZ1asWGFpaYmOKXtZeXn5zp07fXx8sKBJW7Zsqa+vP3HiBMCZBwBAWlra1NQUm23Fe4dHTYYyFxIS2rVrl4WFxcKFC9kF7fhz+CGPUwRLBQCUl5ffu3cvJCTk3Llzd+/effHiBTnNL6GkpMTV1fXZs2eTJ09++/Yti8XavXu3gYGBv7//9OnTjYyM8IlfvXrVv3//pKSk6upqW1tbR0dHyvSZmZmjRo3av3+/kZGRj49PR0eHt7f36dOnjYyM4uLiAAD379/39fVNSEiwsLBAnTAtLc3d3f3OnTuYv3+CYOhkcXHxzJkzBwwYgAKh42Ujl4Jx5syZurq6y5cv3759GwBw/PjxoKCgq1evTp069f3795WVlfb29qtWrbKxsZkyZcqRI0eGDBkSGhq6YsWKQYMGJSYmenp6GhkZHThwAADQ3d29YsWKtLS0ZcuWXb16lcViXbt2raysLCAggMsgA5cuXULPOjdu3OjXr9/FixcjIiKcnJxQTM25c+eilZ2XL18ePnw4JibGyckJX0pDQ4OHhwdaNrp//76CgsKFCxcWLVqkpqaG4ks0NzcvXrw4Ojp67Nixzs7OqMoYKSkpfn5+d+/eNTU1/fTp0xe1ceHCBSUlpSNHjsycOVNBQSE2NhYAUFpaunHjxocPHzo7Ox8+fBgAEB4erqqqGhwcrK6u/vjx47179167ds3f33/9+vXs9HDx4sVbt26dP39+z549NTU1pqame/bsodPpu3btUlVVRWkuXLgQHBx87Ngxe3t7rL9cvnx50aJFysrKr1+/xmdINiovL6+UlJRt27YhsRHkJktPT1+5cqWmpiZybc/BkExNTZWVlSdOnJiUlAQAcHZ2BgCgaDaI6upq9KFuVFTU+PHj8deOGTOmvr4eRV3FEx0draOjg0KoRkdHT5s2Df+rgIDA5s2b8Weqqqo2bNgQGxu7e/dudIazTZLbgqCWe/fuHT58eOPGjbNmzerp6UlMTKyqqgoICECRsMkIASERIAIAeAPeCAJBW2BLmYxAZWWlt7d3TEzMX3/9FR8fD0jtlZ6erqur6+7ubmtrq66uvmfPHnxFsrOzCSNPV1eXp6enqampj4+PrKxsV1cXoSJY0YQaMRiMvXv3zpw5U1dXFz2Hsbvw1atXOTk5t2/fTktLI1gFKl1UVLS4uHjNmjWHDx+m0+mUquvq6tqyZcvdu3f37dvn5OSEHHBHR0cXFxcHBARUVFRwUJqenh6KC47aHbMoAQGBjRs3njt3Dj2eNjc38/HxycrKol/b24G9PTh1CsyYAf57PRBQducvNgQgdQrCKIEfrPDFhYaGCgsLo1BLOjo6QUFB4L87PgAgJCREVVW1oaGhoKBgxIgRu3btWr9+/YABA7D4Mxs2bLhx48a8efOsra2PHj2Kz//WrVt//fUXYd/VqlWryJrEetnjx4+7u7vxfVNAQGDUqFFYcRhFRUVRUVEcws7iQQE5MjMzuUn8v0zfTnaVlJRcunTJ398/MDAwPT0dzS6mpaX54zh16pS/v394eDg798c/k4sXL6L5THd3dzRr+uzZMxkZGTT3ICsrW1hYiE+vq6ubkJAAITx16hRa7KBMj54/GAxGS0vL1q1bo6Ojy8vLfX19tbW1IYQrVqxITEyEEI4dOzYpKam9vX348OHovSQoKAgt9pEFW758uZOTE4SwsrJSQkLi1q1bEMJp06ahxT5yKXgUFBRycnIghImJiWPHjkUn/f39x40bByHctm3blClT4H/m9gUEBNDLq6Wlpbu7O4Tw+fPngwcPhhAWFBRYW1tDCOPj4y0sLCCEV69eRQccEBISmj59+pYtW9atW6ekpITN0u/atcvGxmbLli2YI+Nt27atW7cO1To4OBgJTCglJiZGV1cXQshisYSEhFC0EBsbm6CgIAjh3r17UXyMQ4cOoQbCaGxsHDVqFDresWNHcnLyF7WBZlPy8vIghMePH1dTU4MQmpubx8fHQwh7enoUFBQePnyI3iafPn3a0tLCYDBGjRqFvDPTaDR2zvFNTEzevXuHVXDdunU7d+6EEL569UpWVhZCmJKSsmjRIlTKnDlzGhoa0As0MrD58+fjJ/khyai6urqGDBnS2dnZ09OTmpqKT4lXpqGhIdJbUFAQOsnZkD58+GBubg4AWLJkCT5OEYTw8+fPNjY2SGAAwOHDh/G/ovmnwMBACKGdnZ2uru6aNWvGjBmzadMmFBjn8+fPWAIOzJgxA1kyWnFgMBicbZLQFgS1fP78efbs2eXl5eXl5XJycteuXUNriIRC8Yt9iBSYMgVOARAEwP+LsdPW1sZhsW/y5Mlo1ez69evHjh2DpPaCEKK3MghhdnY2jUYrLi7GV4Q88sTExMjIyLS2ttbX15MrghWNr1FUVJSmpiZqOCUlpaSkJA4XQgi1tLSQbGSrYLFYFhYWe/bswdbuKVW3a9cuNIZACG1sbFBwycDAwNmzZ1Mqat++fdhiHwaTyZw5cybm99/Nza2lpaVfv34nTpyAEB47dqygoGDfvn3YahQ7KLszNw1Brj5+lCAMVhh1dXXgP5NYdnZ2p06dgqSOj4YOFJxt6tSpBw4cgBD6+/vPnz8fQpiSkjJ69GgI4fPnz9GwgIFemZAtId6+fbt27dpZs2ahCF2UvWznzp2ioqIEtbi6uiooKGB52traLlu2DIXwwqI5+fj4oFEXQlhcXAwAQN0Qgd6Qudl28r9NX85OlZeXx8TENDc3AwB6enpevHjx+PHjqqoqFLhRSEho4sSJLi4urq6uy5Yt09bWjo6OxqapfxVLly5dv3797du3S0pKkGULCgqKior269ePRqOhez/nHCjTCwkJaWlpCQgISEpKPnz4sLm5OSMjY+jQob6+vgCA8+fPa2ho3Lp1q6WlpaOjIzU1VVZWFm1FxN7GyIIBALS1tQEAKioq06dPT09Px4tBLoWSmJgYAwMDdIwyaW1tRdKi0gUFBfn4+MTFxQEAysrKaNpAUlISBfIcNmzYvXv3YmNjMzIyvriYhWfhwoVHjx49ffr0+fPnsWURLy+vt2/fDho0CNvGiK1d2tvbb9++fePGjWPGjCFkhaWh0WgCAgJoD6aKigqabaLRaG/evAEAjBgxAv73BF5aWpqenh46PnTo0IQJE7jRBgAARX1fuHBhRUVFWVlZamoqukpQUHDy5MlxcXFIJC0tLUlJSQEBgZycnDdv3qAIVuwsfMmSJSYmJkFBQRMnTqRMcOfOHTRvLygoePfuXezlG81dDRgwoPm/VzIIRiUiIjJ69GgDA4OnT5+amZlRFkGZIWdDGjhw4JMnTwIDAyMiIgiBeHfv3n3u3DkksJycHHo8wkD9QkVFBf07fPhwFxeX/Px8Y2NjFBRBRkaGj48PNSI7Ojs74+PjR4wYAXA9hbNNEtqCoJZnz55BCDMyMjIyMgIDA0eOHMmhdDzmwDwBJPgBv4Pg4BcTt7a2vnv3bujQoQAABwcHNN9GaC8AgKCgILI0AwMDbW1tcmBpAkJCQsrKyhISEv379+e+IrKysmihR0NDo7m5mcsLyVZBo9HOnTt34MABR0dHDkLGxsYaGhqiY2trazQz97WcPHnS3d0d6wIAAElJyZUrV544cYLBYBQXFw8bNoybfMjdub6+npuGIFcfP0pwGKzIEDo+freGoKAgNpqh/kKj0d69e8dkMocPH07IR0RERExMDD2xIXR0dNTU1N69ezdp0iR0htzLVFVVURAhfFbobQH7d/ny5SEhIZ8+fWpvbzc3N+dmHQlJSwhR/wfSlx/FvHjxAgCgqqpqamoqJSXV0NDw/PlzNKHKx8dnZ2eHfcEhISExZswYOTm5ly9fooWbX8XLly8DAwPPnDnz8uXLH/Rs19raqq+vj+4BaEyPiIhoamraunUrerfAZkG4F0xeXp7gTZ5cioiICFkYGo2G3edkZWX5+Pi4dJ2AHk1aWlqWLl0aFBQkJCR0//59rur/38yYMQMAUF1drays3NHRoa+vf+DAAScnJ8IWGSMjo/T09GXLlo0bNw7ZFZesW7cuKSnp5MmTHz9+RAuUGE1NTTU1NfgafZU2+Pn5BQQEZGRkAACfP39GxozdnPC4uLgsWbIEzZNDNtvv1qxZo6qqunbt2szMzAsXLpATkKXlWG8QEhKCNyoAQERExOHDh2fOnHn69OkvfvuJwcGQHj9+PHnyZBqNtmbNGgghiteLHrgvXry4efNmdAwAsLCwIKxFvnr1SlBQEL96bmBgcOLEiRUrVujq6o4cOVJISGj06NGc27qxsZHJZLa3t+OthbNNktsCrxYAgICAgL29PUrc1dXFedcdgTVgzUlw8ovJmpubGxsbMTclyPDI7YWHn59fXl4ezfdwA9pMhq9I315IaRW1tbVjx451d3ePjo5mlz+hi5E7yxd59uzZ4MGDya8EmzZtOnny5IoVKxZ9ky8E1J2lpaW5aQhy9fFpCIMV5zp+sePjGT9+/JIlSzZt2qSqqkoOLjR+/PinT5/izwgJCRGGfUIvQ2p88+aNiYkJlubVq1fTp08nZC4iIrJ48WJHR8fi4mIdHR3OcqampiooKGDPzX8sfTk7VV9fLyYmNmvWLCUlJVFRUTU1NTs7O/RQrKenR3aOMHDgwMbGxj4U4Bs4evTosGHDhISEsG2G8L93aBLSS0tLo3maT58+oe2E7NJj542MjDw9PdFW5RMnTvT29np7e0+YMAH8Z2+joaFhfn4+2mjZ3d2N1krIguEpKSmxs7PDnyGXgv8VE2bWrFmJiYlo0CwsLLS2tkbdj93dmnD+xo0bPT09ioqKmFSioqLYBtuioiK0poOHxWIR9lFGRUWhPTSHDh0KDQ0dP378jh07CMVdvnxZR0fn6dOnYmJi+fn5+FLwImHHmIrq6+sXLVrk5uZ29OhRwigwbty45ORk5GEBeaPgUhso87S0tNmzZ0tJSU2cOBG7fxQVFdna2uKFKS4uvn79uomJCRIYVT8pKYnQIpcvX541a1ZOTs6dO3cAzq7Ky8uRXZmbm58+fbqsrAwAcPv2bWzaBglD3ppKMKr6+vqHDx96eHhcu3bt6tWr+JR4ZZIz5GBI8fHx2JyoioqKhISEtLQ0Ek9fX3/w4MEMBuP27dttbW1+fn6pqanYXgoIYXBwsIeHB3oJRnsAAABr1qyZM2eOjY0NGgcOHTqUlJR09+5drMSamppHjx5h/6qoqCgqKqKY9uiW1tPTw8EmyW1BUIuRkVFMTExqaioA4MOHDzdv3kT3QvKecUryQb4dsCOcJDe3urq6nJzc33//DQBobW1F+yMJ7YVvi6amptbW1rFjx+JbijzygP8eZAgVwUon1AgrC7U4hwvxmiRbRUdHR3R0dFxc3OvXr5HfE0rVzZo1KyoqCh0XFhaiveoc3g0IP+Xn51dWVk6fPr23t/fVq1fIotDL54ABA+zt7TMzM9F+OxaL9cUPO/AaQN1ZQECAm4ag7BTsBiusIDExMQEBAbSnpaKiAolH6PicRzM6na6srHzixAkPDw9snME4duxYZmbmjRs32FWT3Mv09fWXLVu2f/9+LNmjR4+am5uRcRJuNJmZmTIyMgMGDEA/EZSD8eLFCw8Pj/Pnz6M1jT+aPlw4DAwMjI2NJZzs7u4ODg5+//495SXx8fGEHRg/mTNnzvTv33/9+vXu7u4aGhpPnz7dvn27kJBQWlra8+fPhYSENmzYgN/+cunSJXV19blz527evHnkyJGFhYXk9GlpabKysvb29p8+fYIQFhcXa2lpycjIGBkZoY0+jo6OQ4YM8fHxmTNnjrm5eVVV1b59+1RVVRcvXrxo0SIdHZ2MjAyyYBcvXrSwsAgLC/vnn3/u3bsHIXz69KmCgoK9vX1tbS25FIz79+/z8/N7e3vX1NRACI8dO+bk5HT//v3t27dXVVWVlZWNGzdOV1c3KyuLyWSinhYXF1dUVKStrW1paVlRUYFcmCQlJaEOZm9vHxQUJCYmdv78+erqagUFhS1btlRXV0+ePHnv3r34oul0OnIPY25u7uPj4+3t7ejoKCIiUl9fv3///i1btkAI0Wh79OjRDx8+TJw40cjIqLCwcNOmTXv37k1OTnZzc6PT6Vgp6CdJScnExEQ08XnkyJHy8vLhw4dbWFjU1dWFh4eLi4sPGzZszJgxGzdubG1txctz7NgxISEhNTU1tL+KszbgfzYTbNq06dKlSy4uLtXV1RDCsrKyqVOnhoaGBgYGnj9/HkKIFrn27dvX0dHR1dU1aNAgMzOzwMBADQ2NlStXFhQU0Gg0tEUJY9q0aSEhIdHR0cj5RX5+voaGhpWV1ZEjR/r37x8dHc1gMObPny8oKDh06NCrV69CCNFtOCAg4OPHj4aGhmPHjkXyIAhG9fr1axMTk+joaH9///v37+OLxpQZFxcnKyu7ePHiurq6xYsXy8jIvHz5koMhBQYGjhs37uTJk2fOnDE2Nr5z5w5qPvxHbfb29ihxfn7+7Nmzjx8/HhYW5ujoePLkSTS+JyUlqaqqamhooB0ebW1tWlpaxsbGaCtGWlraqFGjlixZcvz48f379wcGBhIi1cfGxiooKDg6Om7evLl///4hISEcbLK0tJTQFnV1dQS1+Pj4CAgIDB06dPXq1ainjxs3zsbGBn0HjsDvneqCXUPgkO1weySMPAfPdcL/G76wvVOUzZ2UlIRmlKdPn97S0kI5CBgbG8+ePfvChQvoGxR8S1VXVxNGnuzs7FWrVgkKCmKNS64IBqpRenr6qlWrxMXF09PT09PT+/Xrt3Llyp6eHg4Xenp6jho16vbt2wSraGxstLOzQ1/Ub9myRUpKCu0EIquuq6vL2dl5z549N2/e9PLy6unp+fTpk52dnaamJsG6IISvX7+eMGHCsGHDXrx4ASEsLS3Fv4QrKSl1dHSgVr58+TKE8MWLF2fPnoUQZmdnGxsbAwDOnTsH2UPZnblpCEL1CaMEYbDCl7h27VodHR1nZ2d7e/t58+a1tLTgOz6TyQwLCwMAnDhxoqCgQE1NbeHChZ8/f16wYIG8vPzr168LCgpkZGQGDx5sYGDg6Oj49u1bQo2Ki4unTp26dOnS06dP+/n5TZ8+He3i4tDLent7fXx8XFxcrly54ufnZ2tri+7O9fX1hw4dAgBMnjx5586dzs7OlpaWGRkZEMJnz54ZGxsLCwtfvny5srISvf06ODjs3Llz27ZtS5cuJeww/mPpy8epGzdukB+nIITPnj3Dj/t4wsPDKysr+1CGbwBz5EO49bKjvb29t7eX0G2+SH19Pf7GgApFL3noTGdnZ2dnJz5bSsE4798nlMKO3t5ebI/h19LZ2YnGXEyqrq4u9N7W2dmJDr4fJpPJYDDwQmKlcOb8+fOFhYXv3r3Lysq6desW3t8Voru7m+C6iYM20Pjb0NBA9obV1NTETh4mk4maFdPVu3fv0PYdfJrOzk6s9SGEKAQTqjh2sqWlBX2jwA0Eo2KxWE1NTZR74b+oTEpDamlpQXMAJSUlXNp/c3Mz3j8Ql7S0tHC4islkNjc34xXFwSbJbUFWS2dnJ94kkHMKfImEregdsKMEljDgf7m8wm9FJzc3KpdgRYT2Qk+o2IZrQkUgFyMPoSIcasTlhahQ7PiLwwu7gtBrBocLfw7sujM3DQHZV588WOFBT8/Y1zbkjs+BJ0+exMXFlZaW5uTkJCUlkf0OInp6eoqLi7nME8FisT58+PA7NMr/En35OFVYWHju3DmyY722tjbKli4uLvb390efOfDg8f20traqqqqiScGOjo64uDj0Fc83g//u5nu4ffs2N4+5PH5PysvLBQUF79y5w87jYkZGRkhICPY49W3NbWRkFBkZ+V2C8uAIl93592kIIyOjR48esVis3t7erKws5COXx29LX+6d0tbWVlJSQsvwePr16ydGFdob7cOg/IkHj29AQkLCw8Nj8eLFkydPdnNzGzhwoL6+/vdkeOXKFQ0NjStXrpCdHH4Vtra2vPCU/15UVFSqqqrMzMzQPhIy2tras2bNwvwtfUNzp6end3Z2Pn78mPO3jTy+B26682/VEAcOHDh16tS4ceMWLVrU2NhobW39qyXiwYk+DoEMIczMzGxqajI3N+f8nMRkMoOCgoSFhZcuXfoTom7x4MGDBw8ePHj8IPr4cQrBYDAYDMYXp51qa2tFRUUlJCT6XICfzO8ZEpx7qX5D+b9ZJOxz9L7N9jeBxWLRaLSfMNHFQY0/U4c/uqyvzf9/qe48ePDoW35IkBlBQUFulvAUFBR++bNUS0uLkZHRhQsX8FHWWYA1EUx8B94BAHJzcy9dumRubo6ckZI5ffq0oqLiL/dHSkZXVxf/kXmfpPxpfINIXV1de/bsOXHixPDhw8mu554+fWpsbIziPPx7Wbt27a5du35oEbGxsWfPnp04ceKlS5cIP9Hp9B07dvwcR3E/pyzuzay1tdXb2xu54vwJXLt2DX29z4MHj38Nv2THVlFREfpo/5dTV1dHcN4PITwLz0pD6QJYgJ0xMzND8QfIIFd73HwikZWV9bXfA34PhYWFXBbHfcqfxjeIFBgYuGfPHghhfn4+ZYIpU6agOA+/IZxtA32tDSGsrKz8oaGZmEymurp6b29vXV0dikqBaG5ufvPmDYQwKioKizXxg8BU8ePKwvT5VWb29OlT8ljRt2C+Azo6OkpKSn5oWTx48OhbfsjsFJ1Or6ysrK2tZedXbeDAgZmZmVevXn316tWPEOB7yAbZCkBBEkjiT3IIF49t/Oru7qaM+42orq62s7OjjBPc09ODj8WNHD9i013wP6GmyKCr8IE18D70tLW1sVUhJpNJKBrv/hifEuVJ3qrJwVs0QYze3l7CXB35WkKNUA7shEe/IicCHLLNy8tD61PIeTEZytUrgrbJ2SK94ZX8xUvQR9EcRCUomWwbHR0dmK88X19fzLmiioqKpOT/t0yybVDqiiwPvnadnZ3Yv/X19TU1Nfz8/HJycsgBLwCAwWAsXLjww4cPAGftHR0dnJuDIFJPTw82GhCsC2//eFWwK4tdrTlYID49Xp94MwMAdHd3E4YsfENwWEQm1x15uABUroDZ5Z+cnIzifwMAxMTEUJwTxPc3NA8ePH40ffw41dXVFRMTc/bs2Vu3bl27du3cuXOPHj0i35sFBASQ00UUmv73oQt0xYN4G2DztRcePXrU0tJSXl4+Jibm9evX8vLyUVFR9fX1S5cutbCwAAAkJyd/+vQpODj47du32FU9PT0rVqxISUlxdXU9deoUAODKlSvq6upnz54dMmTI1atXY2JiDh486OnpOXHiRPx42tzcvHLlyr/++uvEiRPz588fPXr048ePt2zZoqenFxgYCABIT08fPXp0REQEACAsLCwiIuLKlSsoWFhubq6fn198fDxys4ulbGxsdHR0tLe337179/jx4xcuXIjKevXq1cqVK+/cuTNixAgXF5fExERMjJKSElNT0w0bNuzdu9fc3NzV1fXKlSurV68eMGAAWhstKiry8vLy9/cfOXIk8hccGxuLXN6ZmZnV19cXFhYaGBh4eHhs3LhxyJAhyB8mJhKEcN++fSgYu42NzdChQ9EtiixSVFRUdnZ2WlpaQEBAWVmZubn5tm3bmEzm8ePHhYWF8U+reAjaJkj74sULfX39bdu22dvbDxw4EIVq53wJAMDb2zslJWXXrl2XL18ma4BSyXjbKCsrW7t2bXp6+vTp0589e1ZbWxsXF5ebmxsaGlpWVubg4LBmzRokfEBAwMmTJ2/fvm1paYl8YFLqiiAPBp1O37Zt282bN/39/VGI5ZqamqCgIAaDERAQgO+Y+fn5OTk50dHRCQkJAAAmk3nw4EHkiRH56SYrAd8v1NTUkFVoaGg8fPhw9+7dU6ZMQfH+yPZP6Cbksgg94osWSLA3vD7xfYTJZO7duzcyMnLTpk3omYbQEOw6Prnu1dXV69ate/To0e7du0eNGvXhwwfKAYGQP4vFunbtWmVlZUBAQEVFhZeXFxZN8jsbmgcPHj+JPpzpYjAYoaGh/iTOnDnz6tUrcmL0ax8K8A0QFvsOwUPNsBlCqAE18It9FhYW7Bb7UBBK5N/o8OHDcnJydDpdX18f+YyOjIw0NjaGEDY1NQEACL7yiouLJ02aBCHMzMwcOnQohBC9HMfHx7e3t5eXl1tZWaFg71paWvjg4RDCkJAQAwMD5N5GWVkZuQOOiYlBEcghhGZmZijEt5mZGRLv4cOHEEJvb2+kdvQvPuXhw4ctLCyYTGZNTY2QkBDyFmZtbX3z5k0I4eLFi3fs2EGovrOz86ZNmyCERUVFAIDi4mII4bZt25Db8cmTJxcXF5eXly9ZsmTWrFkQwtWrVyNfr9bW1uiBafr06d7e3hDC69evm5qaEkR68eJFv379kIu8YcOGPXr0iJ1Iixcvxtzcubm5ubm5Ya2DlmKtra0Ji314bXd3d5OlNTExQTHeS0tLBQUFExMTOV9Cp9M1NTVRKyckJFBqgKxkvG2Eh4fv3LkTQnjkyJFVq1ahuiD38ajtFi9eDCFMTU3V19dHJ69duzZw4EAGg0HWFVkejP3792/YsAEdr1692snJCVWTj48PktDX10cusOPi4lRVVVGG+vr6yEsquY4YaE4L8wO+cOFCCCGahmxrayPbP14V5LJqa2vJPYKzBZLtDa9PzMz8/PxQp6iurp4zZw5lQ2RmZpIX+8h1t7Kyev78OYSws7OTj48PyUMeEMj537lzx9DQEGX7+PFjDQ2NPmloHjx4/Bz60kNBZmYmmvQeOHCgsbFx//79e3p66urq3r59m5yc3NDQYGFh8Tt734kH8dpAGwLYDJpZgNUG2rpBtwigCCRMBkUXX7Vq1Y4dO0pKSrgscciQIQ8fPoyPjy8oKEBrLgICAnx8fNra2uLi4o8ePaLRaCi83YEDBwjxugUFBSUkJJA+lZWVUfRZSUlJ9BIPcGsTy5YtMzc3371798aNGwEA9vb2EydOfPPmDQopgE8pKCgoJyfHx8enoKDQ29tbW1urqakJAHj9+vXcuXNHjhyJD8qLXYKWn9DaEBJDSkqqpKSkubm5pKQkNzcXADBz5kyULCgoqKys7ObNm3V1dajKgoKCioqKABdHnSCSkJAQCnmLT8BBJO7Ba5tSWiEhIbTmoqmpaWpq+vLlS0tLSw6XCAkJWVhY6Ovrnz59evr06ZR5kpWMIt8hnJycWltb79y58/btW/LSsLCwMDqIjo7GAo5aW1svWLCgsLCQrCuCPPisoqKi1q1bh45nzJixdOlSLpUmJSXVr18/pJPm5mbKOmIICgoCADALQZ8IiIuL8/HxNTQ0kO2fc1nPnj0j9wgOFgio7A0PZmaRkZEo3IeSkhIKGsi5IRDkure0tDx48ADFTRIVFeXgAoZz/phg39/QPHjw+Dn05eMU8mI3ePDgGTNm/F/uAgIDBgwYMGBAY2NjUlJSXFzcX3/99dt+/ZsP8m+BW77AFwBQC2pXgpXrwLrVYDX3OUhLS6MI5Fymb2trc3JyOn36tJKS0j///EP4FT2bfm2UeEjaPLF8+XI1NbU1a9Y8efLk3r17I0eOzMzMXLFixejRo58/f45uPxz4559/VqxYoaamVlpa6uPjw1XF/rPbo6mpycbGBt1Uenp6mEzmlStXysvLvby80MQGl7n1iUicoZQWn4DcspSXoAna+fPn79mzZ+7cuZzzJJObm3vs2LHg4OCPHz9iIYTJ0Gi0qqoqdCwhIcHPzy8iIkIZuBcvD1rtJecgKytLCETPPZRK4KaPQwg52z+Zr+oRyLrCwsK4sbfGxsbPnz/r6elh1+bl5X2xIch1//DhA4SwpaWlf//+nOvy0xqaBw8eP4e+3DuFJurHjh1L/klWVtbOzk5WVjYmJob8Eftvwg6w4zl4jv7UgNp1cJ38LPX8+fOGhgZ2Obx7927SpEny8vJY+PePHz+i5SFhYWEajUYYB69fv97e3q6mpoYPZg7+cycwMjJKSEh4+PAhAKCmpgZFwGUH+VaBnQkPD582bVpOTk5aWlpLS0t4ePiQIUOSk5MHDx6MNoVQXoudLC4uPnLkyIoVK06dOvXFJ0V8VmpqaqKionv37gUAMBiMw4cP8/HxeXp6kuO3I8gaIIAloBQJLzNe/6j0L8pMKS1WaG9v75s3b7D3fnaXtLa2RkdHb9q0KS4uLiwsjF2eBIHxtnHkyBEtLS10y0RFi4qKYmaDVXD27Nmpqano8eL9+/f6+vqEyUt0bXNzM14efII5c+bcu3cPHRcWFs6bN4+gQzx4GbBWQI+GnOtIqWoMsv0TugmhLG56BKEIsr1R6tPMzOzvv/9Gi2WBgYEdHR3khiBDrvvAgQMlJSWvXLkCAGhubsYMjzwg/OiGbmpqKigoYNcQPHjw6Hv6cOEwLCzs5MmTlCFXMd69e3f37l30mc9vuHcKYxAcRLl3Sl1d3crKCp+STqebmZlt3749IiLCy8sLBXuOiIhQVVW1sbHx9PQcOHAg2ksxadKk6dOn4+OoZ2dny8jI2NjYhISEiIiI+Pr6hoaGAgA8PDzQxoh9+/YJCAgMHjzY0dER74uhsbFx/vz5qqqqeXl5z58/l5SUdHR0rKmp2bRpk7CwcHp6+pMnT5SVlR0cHD5//jxt2rSzZ88+fPhw+/btEMJt27Z5eXklJye7urq2trZiKQsLC6dPn66trf3u3Tt0Pzh69CiEcO3atdLS0sOHDx83btyuXbvwoXOLior09PSmTZtWVVV19uxZAMCRI0eqq6stLS1HjhxZWloaGxsrLS2tqqpqZmaG4pY7OzsPGDBg586dTk5Oo0aNiouLGzBgwNy5c2tqatauXSsgIEAQ3tPTk5+f//Hjx3l5ef37958/f357eztZpNzcXB0dnUmTJqGoagUFBQMGDJg6derJkyclJCQuXLiQnp6upKQ0c+ZMfMhtgrbJ0lpYWFhZWZ07d27r1q0oYBbnS5qamoyMjO7evRsUFISmQwgJGhsbKZWM2cbZs2dlZGRcXFz2798vJycXFRWVkJCgpKTk5+eXn59vaWk5fPhw5AkiICDAwcHh/v37O3bsKCoqghCSdVVRUUGQB2+3K1as8PDwuHv37vbt29va2lpbW/38/AAA4eHhhE1++/bt09PTu3jx4po1a4SFhZ88eZKbm6uiojJ79uyWlhay3hAsFuvgwYMAgNu3b5eVlRkbG+vr6xcVFUVGRgIATp48mZWVRbB/TBVJSUmUZRF6xBctkGBvBQUFmD4fPnyImVllZaWRkZGoqKi+vn5KSgqEkNAQ169f37BhAwDg3r17eM2Q6x4aGiokJGRubr5//35BQUG0d4o8IJAbuqGhQVFR0dXVNS8vb8OGDcLCwnFxcd/c0P/888+YMWPIIxsPHjx+EH35OPXw4UN/f38sdDY7SktLb9++3dHR8Ts/ThHAHqfodDqlzN3d3YQ7UEdHB4PBoNPpWDBUFovV2dlJuLCrqwsFjW5ra6MMm9rd3Y128n4zKMw7Jh6Tyezt7SXEVGcHg8E4ePBgdXX127dvX7x4cfbs2a/d6MpkMgmuklpbWyGELBaLXRD7PhGpt7e3vb0d4mK5f4O0FhYW4eHhDQ0NHCLaEi5hsVjNzc09PT3sElCCtw1MLUhREEJUEcqim5qavpgzQR48XV1dXAaiZycDJsm3OcQi2z9lN8HztT2CbG/s6kJoaHJDUEKue0dHB3JnJSQkhB6nINWAQM6/u7ub8nX0GxqaxWJx2bI8ePDoE/pysc/ExERYWLiwsJBzMk1NTWNj49jY2D4s+ntobm6OjIxE+0nJFBcXx8XFYcFNU1JSnJ2dycmEhYXRnlkMMTExAQEBISEhbPc9jUYTFRUlXCgiIoI2XvTr149yn76wsDBhe+/XwsfHJyIigonHx8fHz88vIyPDzbWJiYkPHz4UExPT0dHR0tKSkJDQ0dH52tIJ+0iQK3wajUbQGJdwKRI/P7+4uDjAbd/+BmlRLHdZWVkOn1AQLqHRaFJSUmgLNmUCSvC2gakFixmAKkJZNH4bO7ucCfLgERER4TIGOTsZMEm+WEd2AhDsn7Kb4PnaHkG2N3Z1ITQ0uSEoIdddTExMSEiIxWLhVwnJAwI5f2FhYcptZ9/Q0DQajRddngePn0lfbkWXkJD466+/EhISaDTaiBEjONyBVFVVLSws7t69+8tjs/Tv3x99GsbOR5+qqqqMjEx2djb6jmbKlCk/Vb5fjbm5+ePHj6dOnSovLz9kyBB3d3fMu+P/vEgZGRktLS1PnjyxsLAYNGjQjyiCx/8qXV1dgYGBKioqaEvTrxaHBw8eP5y+D4Hc2tqakZHR3NyM3FpySNnQ0HD37t0VK1b0rQA8ePDgwYMHDx4/k75/nEKgQBzslhgwOjs7eTPSPHjw4MGDB49/NT/qcYoHDx48ePDgweMP4YeEQObBgwcPHjx48Phz+LGPUx8/fnz+/Dml82I6nZ6VlcV9PBYePHjw4MGDB4/fk778so9AZ2dnVFQUi8Wi0+koiDqenJycFy9eAAAWL178xW+AefDgwYMHDx48flt+4OyUkJAQ8j5A6eUF+VwREBD4KrdAPHjw4MGDBw8evxs/dis6nU5vampSUlKi/LW2trZfv368L/t48ODBgwcPHv9qeF/28eDBgwcPHjx4fBe8L/u+CxR+i3CSyWT2eUEQQnZh7b+Hf5GofxQ9PT0/s7g+N4M+twHOGXKW/0cY+b8CytHpl8PBtnlDx1fR29v7+6jrj+1leH7s49SrV69+aP7fyevXr8eMGbN8+fLVq1ePHj16+fLlq1atMjExSUtL4+by8PBwNTW1hoYG/MmKigopKamOjo4+lPPKlSvq6uqfPn3qwzwBANeuXZswYULf5tmHosbExJiamq5duxY78/TpUysrq40bN1ZVVX1//r8nsbGxwcHBFhYWly9f/jklnj59WlFRsQ/DPfW5uXLI8OnTp8bGxufPn6e8sKqqys7ObsuWLX0lyb+LtWvX7tq161dL8f/58OGDn5/fihUr8J0a4weNcv+rnDhxIiIiYvDgwUVFRb9Wku7ubi8vr1GjRv1aMX4LfmiA5TNnzmRnZ7OLZv/LSUpKCg4OhhAWFxcDANLT0yGE9+/fv3nzJucLnz17BiFsa2sDANTV1RF+ffXqVd/KyWAwAAClpaV9m21HR0dJSQmHBE+fPv3aPPtW1HXr1tFotH/++Qc7s3Xr1ry8vD7JHE9zc/ObN2++7dpv0BI7mEymurp6b29vXV1ddXV1X2XLmerqagBAV1dXX2XY5+bKOcMpU6YEBgYSTmZlZdHpdAjhli1b1q1b98UivscAfgco5a+srKyvr/8l8lAyb968J0+e9PT0FBQUkH/9QaPcN4AZz8+Hy8Hk7du3lpaWEMKioqI+7LkYeA1wI1JCQoKGhkafi/Gv48fOTvX29hYWFoaGhiYlJdXX1//Qsr4BTU3NBQsWEE5aW1vr6ekBANrb2yknMA8cOHDz5k0AgIDA/7mZYDAY+Jd7XV1dbA6WyWSym9zu6enBe+Si0+kAgM7OTsL8bVtbG2WQee6BELa2tpLPi4mJaWhoEARob29H/yYlJW3duhUvLQAAqyZlnlyK2t3d3dvbiz/DTtUCAgIHDhzYsWNHYmIiOiMnJycrK/vFCwl0dHQQSoQQYjXt6elxdHT88OED50wodchZSx0dHfjWpGzi7u5u+J8Vmdra2pqaGn5+fjk5OfQBB1nP+CJYLFZvby+EsLOzE/1KyJzycgaDgVcaZsbd3d0EZRKuJRtzS0sLQSEcbABVHz9xizUBJhvZRx05Q0IycvDyqqoqW1tbJCpWO0JduDcA9NaELx1VBMFkMplMZm9vL7vpPRaLhbUOu2qiDAkFkSFciFkCO/lVVFQkJSUxMb5oKoTmAFTtS+5xlG4FKS/Py8sTEhISFBQcNmwYISWl2ZBLJw8dZAhmRm4aQrYE5eONhwCaFyCsPBD6OGAz2hDMD9/rMQiDCVlUjLy8PBTAbejQoSIiIoDKqPA9HdWxp6cHE4yDVeM1QBCJcthvbW3Fetkfzo99nDIwMHB0dHRycpKWln7w4MH169ffvHmD3kJ+BzQ1NSUkJAgn+fn5xcTENmzY8ODBAxcXlx07duDtvra2NjY2Njc3NywsDJ25ceOGs7OzsrJyamoqAODixYtqampoyjosLOzq1avh4eGbN28mlBIYGHjixAk7O7vNmzdDCPft26ejoxMYGDhnzpyhQ4ciU66pqXF1dY2NjXV3d+dQCxcXF01Nzerq6vv374uIiISEhAAAYmJinJyc0MHBgwc9PT0tLS3xXaitrW3nzp1ohrawsNDAwMDDw8PNzW3w4MHnz59nsVhXr16trKwMCAh49+6dg4PD4sWLHR0dDQ0NAQCnTp06efLk7du3J02alJeXRynq69ev5eXl4+Li6uvrFy9ejByPMZnM3bt3R0ZGurm57dixAwDQ1dXl4+Nz5syZsWPHXrt2jVy7zZs3Ozo6Ojg4EFYBPn36RGgjyhJRDhEREUuXLp00aZKPjw8AYP/+/WFhYRcuXHB0dAQAvHr1Kjs7Ozo6+vHjx5Qajo6O3rNnT1JSkqmpaWNjI3aeg5bev3+/Zs2aZ8+e/fXXX8+fP2fXxN7e3ikpKV5eXpcvX66pqQkMDGQwGAEBAcnJyWQ9V1ZW4otITExUVVX19/fftm3bsGHDLl68eOTIkYULFw4bNgwNrISmz8rKMjQ0/Pvvv8ePH79hwwZCHY8ePYpilsfFxVFWmWDMRUVF3t7e/v7+I0eOfP36NWdzbW5uXrly5bRp006cOOHg4GBsbPzo0aPNmzfr6uoGBwcDAOh0+tatWyMjI48fP25jY4NKpMwQ33EoGwsAkJSUVF5eHhwcXFhYCACoq6vbsmWLqanpjBkzUAIuDeDp06f79+9Hi85v376l0+nLly9PSUlZt27dmTNnkIYVFRWDgoIWL16sqqqan59PkCQkJOTMmTNnz561trbu7OwkV7OxsdHR0dHe3t7Hx2fcuHFOTk4tLS0zZswYPnw4ev9cu3YtUhG+4l1dXV5eXgYGBocPH5aRkUlKSiLLX1ZW5uDgsHr1agDAF02FoBAAQH5+/ooVK+7cuTNixIjVq1c/efKE3FVzc3P9/Pzi4uJsbGwIFU9OTvbw8Hjw4IG1tfX169cBAEFBQTU1NdevX79y5Qo+JWUrky8nDB09PT3r168fP348am4pKamEhISSkhJTU1NXV9e9e/eamZlt3LgxLCzMxcVlwIABubm5ZKMlK59sPIgXL17o6+tv3brV3t5eU1NzzZo1AABCH0cpyaMNeQTG93qsCPxg0tbWRtYARnZ29v3798vKygICAoqLi8lGRejpR48eVVNTu3LlyurVqzU0NBISEnx8fCZNmrRo0SIAANmqMQ28ffsWLxK5IhkZGdu2bbt//35AQADgAX7wYh+Bz58/JyYmhoSEJCYmktfIfiH4xT4I4eTJk2/fvg0hZLFYQ4cODQ0NxSdet27dli1bIIRoJMrJyYEQrl+/3sXFBf73lLWZmVl+fj6E8OHDh/gc4uPjt23bVl5enpOTAwDIy8t78eJFv379mpubIYRDhgx5/PgxhNDW1haJVFdXB9hPg1dUVIiIiKBZfUtLy5CQEAjhtWvX8vLyamtrp0+fXl5eXl5ePnjwYH9/f/yFjx8/xmZop0+f7u3tDSG8cuWKmZkZhDAyMtLQ0BD96uHhMW7cOBaLVV9fn5qaqq+vj85fvnx50KBBvb29lKLq6+tHRUVBCK9evWpsbAwh9PX1RTJUVlba2tpCCN3d3W/fvl1eXn7mzBlZWVm0eRbDzc2tq6urq6vLwMDA0NCwq6vLz8+vvLycXRuRS3zx4oWenh6E8P379/z8/B0dHRDCUaNG1dfXs1gsERGR2tpaCKGuri66kJKVK1fGxcVBCKdNm3bjxg38T+y0FBoa6uXlBSH08/Nbu3YtkoTQxHQ6XVNTs729ncViJSQk/D/2zjuuieRt4E8gdKSKICAWRKQIp6CiFEGxd0GxYEVFPdspKoKent2z916xd0EExIKoiNiwggrSpHcIkIQk8/4xd/vu7SYRBcv9br5/8Fl2pzzPM89sJjNPZhBCHz58UFBQwKVJtTO9CoRQs2bNrl69ihDavXu3ubk5/vZsa2sbGRkptemdnJwCAwPFYnFpaSmlAm4yvIS6du3aJk2aCIVCtsoMZ+7Ro8eHDx+ysrJ8fX2HDBmCPueuhw8fbt++PW7fJk2aHDlyBCF08eLFzp07I4RWrVo1a9YsnNLPz2/8+PFSC2R3HIRQv379GIt9OH1lZSVCaOHChYMHD6Zu4iXUujhAaWmptbW1WCxGCK1Zs+bq1avJyck9evRACD18+NDKygonU1NTw7118uTJuAdR3L9/38vLC1+PHDkyLS1Nqpp//vmnm5ubWCzOzs5WVlauqqp6/fq1uro6dpXg4GCJRMJWPCoqSkNDo6ioqLi4WKr8CKElS5aMGzcOX8txFakG6du3L4558PX1DQoKQtK66pIlS7Zv345Y77eysjIDAwPsopmZmaqqqu/fv0cIGRsb37t3jyEku5WlZme/Oi5fvkx1vTZt2mB3HTt27Ny5cxFCb9++pZxw5syZixYtQtKclm18uvPQcXJyWr16NULo48ePSkpKsbGxUvs4423D7obsXk9BvUxkGZDiwIED3bt3x9dSnYre0/G0ZXl5OUJo+PDh2CVwyG91dTXbq+kWoERiK1JdXW1jY4OXGs+fP08W+9C3XuxjYGho6OHh4evrKxQKT506dfbs2eTk5J/ntwmYmpqa27dvOzg4AACHw+nTp094eLic9KampgDQokWLsrIyAOByuQoKf1l1woQJrq6uW7Zs6d69Oz0LngCIj49PSUk5f/68vr6+kpKSsrKytrY2ABgbG2dmZgoEgqtXr+LZo8aNG8sRwMTEpHv37qdOnRKLxRKJ5OjRowDw+vVrOzu7uLg4XFF8fPy6desYe9PTV0mUlJQMDQ2p2hlVKCsrW1hYcDgcfX39a9eu4TkqAOjXr9/Hjx9fv35dR1EvXLjQo0cPXMulS5cAIDIysqKiIj4+3sDAYN++fVJnLlVVVa9cuZKZmYm/asMXtlFKSopAIGjZsiW1nezz589TUlIuX76MaGsfcjhw4IClpeWFCxeKi4vlpKdbafz48QsXLrx06VJSUhLOwm5iZWVlFxcXe3v7yMhIT09PRmlsO79//55eBS4Tr+Y0bdpUW1sbz/9raWkVFRVJbXplZWVLS0sFBQX2OQRt2rQBgMmTJxcUFKSlpbFVpjtzWVlZSkpKYmJifHz84MGDZ8yY8Vl3VVJSatSoEYfDAQAjIyOcBosKAGFhYY6Ojjhl//79r1+/LrVAdsf5bNsBgImJCS4Ej1Ggbg5w//59Kysr3JcXL148aNAgS0vLqKioiIiI+/fvU7mUlJSaNGkC0jrOpUuXPDw88PXp06dbtGjBVhOX0LhxYwUFBWNjY6FQWFBQYGNj4+TkdPLkydLS0iZNmnA4HLbiysrK+vr6+vr69LVvBvQdkuW4iiyD4EnHdu3aIYRAWlf18vL6/fffp02b1rFjR3q98fHxGhoauHWaNWtmYWFx8+ZNqRJKbWWp2dmvDqnQ1aTKxGqynVaq8WWVrKysjEMjWrZs2bVr16dPn7L7OLDeNuxuKL/Xf6kBQVrfgX/2dKqtsVkomwBASUmJVK9mw1bkwYMHGhoaeKlR/mv/v8N3XfLk8Xhv37598+YNnirMz89PTk7G3ft7iiEf/MbPy8vDnUdfX1/WAvZn8fPzMzExmT59emxs7OXLl6n75eXl1tbW3t7e+N/q6mr8hYBOaWmpRCIpLy/H/iqfKVOmrFixwtDQcN26dYMHD46OjjY3N4e/l97pFX2dInQ4HE5eXh6+1tHR4XA4QqGwjqKWlJTk5eXh0DQAQAhhU1Cv4+rqanYoDACYmZnh96mFhYWvr2/d28jR0fHXX3+dNWuWpaXl5s2b8Z6x06ZNGz58+LBhwxQVFVEdfkl+7NixT58+BQcH4zmVz6YHgMTExM2bN+/fv//jx49yft967NgxvP61atWqOXPm0B+x7aymplaXquFvw8KXN72enh6Hw2ncuDFbZbozb9u2rbS0dMiQIThmQiAQFBcX191dGaIylNXT01NTU5Pq/+yO80V1UdTFAbCv0uXk8Xi+vr67du0yMDDYsWPHZ2spKSmhNxlCiK2mrLwzZ85cvnw5l8vFwZ0NpTgbrD7bIBs3bpw0aRKOW1i+fDklA72r/vLLLwkJCZMnT3Z0dHz06BE1uuVwOAUFBRKJBA9G5WgqtZWlZme/Or5UzYqKCobTfvU3eS6Xa2BgwO7j7LeN1G4op9fLsYAsYeruVGwQQpWVlXXxarYiycnJX/3J+L/Kt52dwsvPCKG0tLSwsLAjR47Ex8dXVlaqqKi0b99+3LhxQ4YM+RnGUrhf4S6qqqrao0ePsLAw/CgpKWnEiBH0xOrq6vSYTZxXakB0SEhInz59EhMTY2Nj6QGMnTp12rJly6dPnwDg3r17jH0ZcIFGRkYmJiY4RgGvKtbW1kokktu3b7OncAYMGJCTkxMZGenk5DR27Fh/f//hw4cDgKOjY3R0dHR0NADk5eUdOXKEnkvqK4l6xTDUpBIPHDgwNjYWD4jfv3/v4ODQsWNHtqgAoKOjg7/7ZmRk4DsuLi7Lly/H08h79uyprq7u2LHj4sWLcSDR3r178eQBhUAgoAIku3XrtnnzZuxRstqIXaNAINDR0dm1a9f8+fP9/PwAICUl5dixY66urjhUE+tLKSvVwkFBQXhHCTxFT38ky0obNmxo06aNqqpqZWUl+62N75SVlYWHh8+bNy8iIiIkJITRImw7t2jRQlarse/Lanr5n0NJSUl9+vTR09Njq0x3Zl1dXTU1tZUrVwJAbW3thg0bmjZtKtUHZMEQY+DAgVRrJicnDx8+XKr/y+84FPizmWoXyv74Qr4DUHTp0iU+Pv7KlSsAkJaWduHChbNnz/J4PFNTU7Yb0GuhcHV13b9/P/4de2Rk5OvXr9lqyiph0KBBJSUlL1++xFNfUhWn25AtP9TZVaQa5MOHDxs3bvTz89u5cyeee2B31ZCQEAsLi5iYmJYtW8bHx1MFOjk5qamp4fg/iUSSl5fXu3dvqfJIbWWp2dmvDqqz8/n8/Px8qf5Gr9HU1JThtPhbGcP4DOehg9PU1ta+ffu2d+/e7D7OftuwuyG711NQjSjLgFL1kuVUdWx9tlfTLUCJxFakQ4cOHz58wEFpfD7/5wmJ/pF8o0VEzOHDh2/dunXo0KFtf3Pq1KnXr1/X1tZ+03q/iOzsbLwzzeTJk1NTUxFCmZmZPXv2PHjw4KFDh7Zs2cJIf+PGDSMjo7Vr1+LdbtavX5+bm9utWzdLS8uUlBQcCb5mzRqBQNCrV6/9+/ffuHEDr9xT8Pn8gQMHKikp2djYrFu3DiG0ePFiRUXFW7duJSYm6urqjhw5sqqqKjo62tDQcMSIEUFBQVpaWn/++WdycrKCggJ94wCKwMDAmzdvIoSSk5PpvwxfuXIll8s1NzcfM2YM/jkJpqSkZNasWSoqKhEREe/evWvevLmXl1d+fr6/v7+SktKjR48KCwsNDQ1nzpx5//59FxeXVq1a4e0hEELbt2/38fEJDQ1duHAh3mqBLSpC6NSpUyYmJkOHDg0ODm7VqtXjx4+zs7MdHR3V1NTs7e3v37+PEEpNTbWystLS0urQoQOOfqCIiopq1qxZQEAAjg7BjB8/HsdOSW0jdo3v37/X09Nr1apV+/btvby8EhIS+Hx+69atu3TpsnXr1nbt2g0fPryqqmr58uU2NjYnTpyQamFfX9+WLVsGBQWNHj26Q4cO7969ox7JstK+fft0dXWnTp26YsUKAwOD8PBwdhNja1y9enXv3r0nTpyoqKhYvXo1AJw8eZLH47HtnJ6eTq/i7t27XC53wYIFhYWFEydOVFdXv3fv3rNnzxo3bjxp0qTy8nJG0z98+NDAwKB///7YySkEAoGLi0tAQMCpU6eWLFmSn58vVWWGM1+/fl1HR8fExMTV1fXjx4+yfIByNh8fHxMTkxcvXjx69EhTU9PX1zcvL2/GjBlqamq4USZOnLh48eLLly8vXLgQh7ixC2R3nIcPHxoZGQ0cODA7O5uulLu7e9++fa9cueLs7Gxra5uSknL69GncMeU7AL2Q7du3q6iomJiYTJkyRSQSPX36VFdXd+jQoYcOHVJVVV23bl1UVBQArFq1Kicnp0uXLra2tpmZmVR2kUg0evRo3AQ4uoutZklJSd++fS0tLd+9e4c/XClnXr16Ne7RiPXG4PF406ZN43A4Z86cwQnY8r9//97Dw8PW1vbly5fyXaWgoIBtkOnTp+vo6Nja2nbt2nX58uUSiYTdVQMCApYsWRITEzNr1ixGsFFMTIynp+fFixdXr16Nw7PCwsK4XO68efMYLSXVbdjZ2a8OkUjUqVOnzp07z507F8dcv3371sbGplevXjk5OTiqevPmzdnZ2a6urh06dMjIyGA4rSzjY+dhbBDg5ubWp0+fAwcO4JGQ1D7Oftsg1hu4tLSU3uvpVVAvk/T0dLYFKDIzM729vZs2bXrnzh2pTkXv6RKJZN26dQBw6dKl9PR0R0fH9u3bp6Sk4Cj43bt3s72abgG6SOyPkvXr1zdt2nTcuHGTJk1q3rx5VFQU+m/zbQ+Z2b59O75QVFS0sLCws7OTdX7fT0h5ebmmpqbUX31XVVVJPdeZgUQiwb9Nxec9s8tXU1OTurZFL6GiokJHR0cgEOBIiIyMjISEBMb3WgDg8/nUhHlNTQ19yhfP8VA/ma47AoGAy+VKtQAlmBxR4e/FO4lEQlezpKREV1eX/tWwuLhYV1eXijmTQ21trYKCAiUSu40YNcbFxRUXF9vZ2ZWVlZWXl1+/fh2/L6qrqzU0NAQCgYKCAo4toNpUqoUrKysbNWqEEKqqqmK0piwr8Xg8nBLnlaoOQqiiokJdXR3LwIZt5y+i7k2Pf4JOV42hMtuZJRJJaWkpPYBJqg/UHT6fL5FI6Id4Si2wLh0HIcTn82UtfMh3ADr4B+RU8/H5fC6Xy+VyeTyehoYG3YdlgSfj6dKy1ZSKUChk6Chf8Tq+lKTCMAiHw9m0adP48eNLS0t5PN6TJ0+srKzc3d3hn10V/7CgsrJSln+WlJTICe2ikOU27OzsV0dFRYWWllbd/Y3ttGykOk+3bt2mTJnSr18/ugCMPi71bQOsbiin1zNeJnU0INTZqWTlZXg13QJ0kdjvE4FAIBKJlJSUlJSU6tId/rf55sMpZWVle3t7e3t7ctRxg3D58uXBgwfXZeRBAIAuXbosW7asd+/eCKGkpKQ3b94wlm7ZEAsT/uPcuHFj/fr1ly9f1tLSKisru379uoeHBw7u/s/i6urq5+c3YcIEOWm+4m1D+F/i2w6nzpw5M2jQIDKQIvwobt26tWvXrk+fPrVo0WLUqFFDhw790RIRCD87NTU1y5cvv3PnTpMmTdq0abNw4cJ/0arCtyA+Pn7q1KmOjo5Lly5t2bKlrGTkbfMf59sOp3Jzc//j32kIBAKBQCD8z/NtVzQ+O5b64cc3EggEAoFAINSTHxkgghD6HxhO1eXMOAKBQCAQCP/DNOQ2ngkJCSUlJW5ubjhYqrKyMjIyUlZiiUTC4/EYx0n+u8jJyVm0aBGPx6Nv0UkgEAgEAuG/RoMNp6qqqvBObsbGxnZ2dgDQqFGjmpoaxsaM/0sYGxt37NgR7z1TT+Li4vBxnt8oPYFAIBAIhG9Hgw2nNDQ0rK2tS0pK8N7NGEtLyxcvXtja2rL3SsF7jbx7966hBPhq8J4lQqGQw+HgjUAYGwUxdhvCu63U1taqqqrK3/yGDt5Fprq6Wk1NjbE/R0xMzOLFix8+fEjdKS8vl7NZPDs9gUAgEAiEH0hDxk55enqOGDGCvseXpaWllZVV165dHVl06tTJ09OTOoPpR7Fp0yZTU9OTJ0/6+/ubmZnduHFj2bJlnp6ePj4+OMHatWtDQkKOHDmC93U8efJks2bN9u3b17p1a7zPMmb37t0+Pj6PHz9+/fq1gYFBWFhYUVHRhAkT3NzcBALBggUL7O3tlyxZ0rNnT2Nj42fPnlEZJRLJmTNnsrOzd+7cWV5e/v79++Dg4G3bttnb2798+TIvL2/IkCFt2rQpKCgYMmTIsWPHGOm/s7kIBAKBQCBI4Vtvu56bmyvnKT4w5Afy8eNHACgvL0cIjRo1avTo0QghfEoRPjbBwcGhsLAQIaShoZGTk4NPJoqMjOTxeHw+f8+ePf369Xv06NHBgwepMu3s7PDZ7OfPn+/UqRNCKCoqSk9PD9cyZcoUV1dXugyXL1/u0KEDvu7Ro8eHDx+ysrLGjx8/cOBAhFBpaamRkdGuXbt27tzJTk8gEAgEAuGH05Ch6GKxmH3Uhvz936SevvI9wat7eEatadOmIpEIADQ0NBQUFIqLizU1NZ88eZKQkHDv3j2JRFJdXc3lchUUFCwtLanzHFJTU6dOnfro0SM5tSgrK+vo6OBafH19+/btKzVZWVlZSkoKPlRywIABOL2Ojs727dsnTJhQUFDQgIoTCAQCgUBoKBpyse/evXtfmiUuLq4BBWhYEEIAMG3atMrKyqFDhyopKSFpW56am5ubm5vPmDGjjsUqKioaGBhIfVRRUVFaWjpkyBBvb29vb293d3e8C0NxcbGVldUff/zxtaoQCAQCgUD4hjTkcEogEHzRDEpBQUFaWloDClB/GAOmlJSUY8eOubq61tbWCoVCiUQiNdnhw4fv3Lmzf/9+/K+Ojk5RUREAZGRk4MVBAKDy3rt3j3GQk5qaGl5eNDU1VVNTW7FiBQDU1tb++eefCgoKSUlJAoHg3Llze/bsefr0KT09AJSWliYlJTWkCQgEAoFAIHwhDbyN561bt4RCYV1SpqamXrp06cfugYkQOnnyJABcvnw5IyPj/v37d+/e/fDhw4ULFyQSSVhYmImJSbNmzbp167Zr1y5LS8ugoKD9+/dLJJL9+/eXl5fn5uZGR0e/e/cuIyMjMDBw+vTpa9eu5fF406ZNW758+dChQ4uLi8vKyhISEgCgqKhoxYoVR48ezcrKWrZsGV2Mjh07lpeXz5o1Kysr68iRIzt27DA1Ne3evfvo0aNTUlLGjBkzbNiw5s2bu7i4eHt7v3jxgkqfkZFx+PDh8ePH/xjzEQgEAoFAAICGPbMvKirq3bt3TZo0kX/scW1tbWxs7Js3b/C/s2fPbigBvgUIoerqag0NDYFAwOFw6rgzQnV1tbKyskQiUVJS4nA4MTExfn5+eJ6JvgUDhUAg4HK5OPJMIpGUlpbq6+vLKZ9KjxCqqakhh0wTCAQCgfADaeDZKRsbGyUlpTNnzsha9cvLyzt16hQ1lvr54XA4OOpcRUWl7rtMqaurc7lcZWVlvMWURCIRiUTKyspSx1K4cCqKX0FBQf5Yip6ew+GQsRSBQCAQCD+WhhxOqaqq9ujRY9iwYb/88svFixeTk5PpTyUSyaNHj86fP493S1JUVGzRogX7l4D/e1RVVYWFhSkoKFy5cqUB5wIJBAKBQCD8JDTkYl9paamuri6+zsjIiIiIsLKycnV1VVBQKCsru3HjRl5eHn7aqlWrbt26NWrUKCIiQtauAQQCgUAgEAj/ChpyOMWgrKwsLCxMXV29devWcXFx+DduqqqqHh4eFhYWOM379+/btGnzjQSoJ1K30fqpCvw+0MX+ChUaUOuvK4qd61/aEAQCgUD4aWng2Ck6Ojo6gwYNys/Pv3v3Lh5LtWrVytfXlxpLAcCPHUslJSV17Nhx0qRJ06ZNc3BwmDhx4tSpU52cnC5evDhs2LB58+Y1YF1nzpzp1q1bAxb43bC2tr558yaPx5s5c2aPHj2+KG/Dao0lqXv6x48ft2/f/sqVK/Ush0AgEAgE+TTkruh8Pl9VVZX6NyMjIzo6Gu8zDgCtW7fu169fA1ZXfwoLC6dOnTplypT09PSWLVtu27bNxcUlIiKioqKiZcuWfD6/AesaNGhQx44dG7DABufp06ft2rVjh9uHhoa2bNlSWVnZxcXl8ePHdSkqLi6ua9eu0NBaY0nqkvLhw4ddunTp2LGjgoICe/617uUQCAQCgVAXGnJ26smTJ/hCKBTeuXPn6tWr1dXVAGBqauru7p6enh4TE0PtZvkzYGZmNnLkSMbN3r17t2vXjsv9a6BZUVFBf4oQYtyhwBtuURtsAoBEIhGLxXhYpq6ubmZmRj0SCAQAUFVVhf8ViUSM0RujFjy9V8cRHp/Pp7YPpWTDbcEQgJI2Nzd32LBh1J5h9OosLS3x7xMpm1BiSyUmJmb+/Pn4mqE1ADCObcZiVFdX03cgE4vFUncvoySRlRGzZs2aCxcu4GtK5srKSqnlAEBNTY1URbAMDGWrqqroPozTVFdX0wdtbCepra2tra1liyoUCrEiVDKgtbIcZyMQCATCT0VDDqeqqqo+ffr05s2bEydOvHr1CgC4XK67u/vQoUPt7Oy8vb0/fvx4+fJlxuf6D6RFixbsnQsUFBSsra0BoLCwcN68ea6urn369MGPwsPD161bt3jxYnd3d/rnXE5ODj4ZZvLkyR06dHByciotLT158mSzZs327dvXunXrw4cPBwcHt2/fHgBSUlKcnZ1nzZq1YsUKV1fXmTNnnjx50t/fv3nz5njT8+vXr69YsSImJsbFxaWoqCg7O9vHx2fcuHFjxoxp167d1KlTtbS03r59i+Xx9fVlDERWrFhx/vz5uXPn4jGNQCAICAi4cOHCtm3bBg8eXFxcnJyc3L59+8DAwDlz5rRu3frAgQMAEBMTk5mZuX///mfPni1ZsqR9+/YbNmzQ1dUNDQ11cHA4deoULl8oFE6dOtXBwaFt27apqamvX782MDAICwsrKiqaMGGCm5ubRCI5c+ZMdnb2zp07P336RGmNq1i8eHFUVFT//v1Pnz6NEFq5cqWVldXevXuHDBliYWGBhybHjx8/derUyZMnf/vtN3q7PHz4EEsiKyOmoKAgIiIiMTHx6NGj+M6TJ0/8/f0tLCzWrVtHLwcAEhMT165dGxkZOXToUHpdCQkJdnZ2AQEB3t7eLVu2nDJlCgCkp6dPnz794cOHffv2jYuLEwgECxYssLe3X7JkSc+ePY2NjZ89e8Z2kidPnjg4OCxbtszFxWX69OlUFUKh0M/PLzY2dubMmTt27KipqaGbPTs7W5azEQgEAuFnpAGPU46MjNxG4+zZs6WlpfQEVVVV586dO3z4cH5+Pr4TGxvbgAJ8Nfism3v37lF3Fi5cOHjwYIRQSUkJAGRlZRUUFPTp0ycrKysrK6tNmzabN2+mlxAYGOjp6YkQ4vP5tra2S5cuxTMNkZGRPB6Pz+ffunXLzMwMJx47duzcuXMRQu/fvweADx8+IIQCAgLmz5+PEPL3979+/TpCqF+/fnj0EBwc7OTkJJFIioqKKioqtLS04uPjEUJ79ux58+YNXYy1a9du27YNIZSbm4vlX7Vq1axZs/BTf39/X19fhFDfvn2XLFmCEDp79qyzszNCqLS0FAAqKysRQjdv3tTQ0CgsLCwuLkYIubi4HDlyBCF0/vz5pk2b1tTUSCSS/v37Dxw4ECFkZ2d3+fJl/LRTp04IocuXL3fo0AHXSGldVlZmYGBQVFSEEMrOzlZVVU1OTk5ISNDU1CwrK0MItW3b9ubNm7i6Fy9eIIRu3LjBaCZKEqkZKWbPnj1v3jx83alTpy1btmCpWrVqxShnyZIl2FzsupycnFavXo19Q0lJ6fbt2yEhIUFBQQihDRs2TJkyBSEUFRWlp6dXXl6OEJoyZYqrq6tUJ3F2dl60aJFYLC4pKaHK//DhQ/fu3RFCjx8/trCwYJhdvrMRCAQC4WejIWOnKDgcjpOTk6OjI31JBQDU1dWHDRt29+7dc+fOdenSpV27djk5Od9CgAbBxMQEAHR1dbW0tMrKylJTUzkcTnx8PACsXr3a3NycnlhZWRmvaqmoqAwfPvzRo0dcLldBQcHS0hLvAkqPSVJSUtLS0gKApk2bAkDjxo0BQFtbOyUlBQD27t2bnp5+4cKFwsJCPJOnqqrapk0bDoeDt/ecPn36hg0bLly4kJKSMm3aNLoY58+fP378OAAYGRnhEOywsDDqeOb+/ftPmDABC2BoaAgAxsbGWVlZDMVVVFT09fWxVAzJmzVrhsPjJk+ejOds5EPljY+P19DQwPIbGxtbWVlFR0e7uLgoKytra2vTJZk4caKrq+uyZcvmzJkjqzQlJSV2RlmYmpoCQIsWLcrKyhjl4HOm37x5s379enZduEFbtGjh7Oz89OnTgICAioqKy5cvv337Fs+HKSsr6+jo4Kb09fXFs1ZsJ1FRUWnbtq2CggK1jQgAtG7d+saNG5GRkUlJSbiV6Wa/evWqHGcjEAgEws9Gww+nNDQ0+vXrhwcKbBQVFbt37964ceO7d+8+ePCgwWv/duCgH29vb/yvrIAbAFBUVDQwMPiKKhBCAHD8+PGsrKzg4OCQkBAkbRuLuXPntmrVKiYmhv27yJKSkry8PBsbG6pADodDjVn19PTovxWoDwYGBl+kI4fDyc/Pl0gkCgoK8iWZNGmSqanptGnT7t69e/Xq1QaRVhb29vaPHz/28/NzcHB49OgRNYJkgBs0MTFx8+bN+/fvz8jIYIfk4zR1d5LKykpfX99du3YZGRlt3LiR8bTu5RAIBALhZ6CBN0rQ0dEZMWKErLEUhZ2d3aBBg5SUlBq29q8GBxczxi5UxDEOTnJ0dIyOjr5x4wYA5OfnHz58WGohABAbG+vj44OvqTKlDoykPlq8eDHeXIDH41Fl0tMYGRmNHz9+7NixI0aMYBTl4uKyfPlyvGa3Z8+eqqqqwYMHU4OS5OTk4cOHS5VZRUWFw+FQkenon4HVbJlfv349duxYANDR0SkqKgKAjIwMvL6ppqbGLsfJyUlDQ+PWrVv4Zk5ODmP7VkqSkJCQXr16PX/+/P79+4y4damSsH/cQBeASkCPMKPKCQkJad26dUxMjLm5eVxcnNSSRSLRmzdv+vbtu2HDhjZt2qiqqtLbhbq4d+/eiBEjZDkJW/KzZ8/yeDxTU1OprfxZZyMQCATCz0UDLhxGRkbm5eXVPX12dvaOHTsaUICvIzs7OyAgAAAmTZqEw5iys7OdnZ1tbW1TUlLOnz8PACtWrEAIrVy5ksvlmpubjxo1qqamhl7I77//bmlpuXXr1s2bN69ZswYhhEOhAwMDy8rKSkpKZs2apaKiEhER8f79exsbm169euXk5Ozbtw8ANmzYkJub6+HhYW9vn5aWNnbs2ObNmwcFBfn6+v7yyy83b950c3Nr1apVXFwcVd27d+9GjhwpVRdHR0c1NTU7OzsclyYQCPz8/AIDA69cubJgwYLKysp37941b97cy8srPz9/+vTpXC734cOHCKHu3bv37dv35s2bM2bM4HA4Z86cQQjdvXu3adOmI0aMyMvLe/PmjZ2d3bZt244dO7Zq1SqhUIgQOnXqlImJyZAhQxYvXtyyZctHjx4VFxcbGhrOnDnzxYsXlNa4KE9PzwsXLqxZswYHhy1evFhRUfHWrVsvXrzQ19f38fHh8Xi9evXat2/fjRs3FixYQFeNLonUjFTK6OhoIyOjtWvX3r9/v3HjxiNGjCgsLJwzZw7OQi8nICAgODg4JiZm5syZFRUV9Orc3Nz69Olz4MCB+fPnh4eHI4T27dunq6s7derUVatWNW7cOCws7M6dO5qamn/88ceRI0dmzJiBZWA4ycOHDw0NDfv375+amkov/9mzZ7q6ukOGDDl8+LCqqury5cvpZpfvbAQCgUD42WjIXdHxZj9flCUqKqp3794NJcB3QCAQCAQCHC5DZ9myZZ8+fdq6desXnZQsi8rKykaNGiGEqqqqNDU12QmuX7+upqbm4eEhNXtJSYmuri49cI3P50skEvmHJSOE+Hy+mpqafNnKy8vV1dXpM4vV1dXKysoSiURJSQlXKhAIuFyu1J3HS0pK9PT05JQvkUiEQqFIJJKqeB2pqqrCIWvykUgkCKGKigp6VBOmW7duU6ZM6devH92SPB4PS4UbKCYmxs/PLykpSSAQ0H8iKstJGPD5fC6Xy+VyeTyehoYGI9Cw7uUQCAQC4YfTkLFT7LFUYWFhRUVFq1at2B8VsrL85KioqKioqLDvSyQSkUjE3nbh68DlcDgc9pAiMjJSKBSGh4fjmS2psMcrdQmZ4nA4nx1LAQAOAKfDHqVJNZEs2RgoKCjUP8CrLmMpXBcAsMdS8HeDMqSlmgM3EE6jrKzMGEDLchIGlJqyBo51LIdAIBAIP5xveMhMVVXVmTNnwsPDs7OzZaX53/jmnZGRkZiY+PHjx4SEhG9d182bN9esWdOwB+AQGMTHx5eXl9+9e/fjx4+y0lRVVYWFhSkoKFy5cqUBp3gJBAKB8G/kGx6BXFhYePr0aU1NzTFjxsj6kk391ItAIBAIBALhX8o3HMoYGBiYmZlZWlrKWbB4/vz5txOAQCAQCAQC4TvwbWeG+vfvX1NTI2uvTolEkpGR8U0FIBAIBAKBQPjWfJNd0TEVFRVRUVEAcPnyZV1dXcYuUwih8vJysj8hgUAgEAiEfzvfcDilpaUlEAjwmXd4p0cCgUAgEAiE/z2+4XAKAKytrZ88eWJrayt1K6bKysq3b99+UwEIBAKBQCAQvjXfdjhlYWHB4/G6du0qKwH96A8CgUAgEAiEfyPfcKMETFlZmY6OjtRHr1+/VlZWZp/jSyAQCAQCgfAv4pvv+SRrLAUAXC737t27IpHoW8tAIBAIBAKB8O34tot9APD27dvU1NTq6mrGup5EIikvLxeLxSUlJU2aNPnWYhAIBAKBQCB8I77tcOrJkydxcXFyEmhoaOjr639TGQgEAoFAIBC+Kd9wOCWRSBISEtq1a2dkZKSoqPjq1SsbGxt8pAxCqLCwsLy83NPTU1FR8dvJQCAQCAQCgfCt+YbDqdLSUisrKw8PD/yvoqKiRCKxsLDA/1paWkZERBQXFxsbG387GQgEAoFAIBC+Nd8wFF0kEtHj0Fu2bPn+/Xv6DwlbtmwZGxv77QQgEAgEAoFA+A58w+GUtrY2/Ug+BQWFJk2aJCYmUndqamoKCgqqq6u/nQwEAoFAIBAI35pvuNinqqoKAGfOnAEAe3t7Kyurdu3aHT9+vKCgwNTUNDc39927dwDA4/HU1dW/nRgEAoFAIBAI35Rvu++Uq6trRUVFQUHBmzdvAEBVVdXd3f3du3e3bt16+/atWCzW1NTU09P7pjIQCAQCgUAgfFO++a7olZWV6enppqamurq6+E5KSkp8fHx5ebmBgYG7uzvZdIpAIBAIBMK/mm8+nCIQCAQCgUD43+abHzJD+KZ85zOka2trf8Lxd32M0LAGlEgksh4hhOQ8rSdStaiPagih2traekjUMPzXjkin9JWveAOa5bNFfZ8maJBa/mvewuA7qP8ft/BnIcOpnwiJRHLgwAEHB4ehQ4cGBgZOnTp13759sjw4LS1t+PDh/v7+3028LVu2nDhxomXLltnZ2d+t0rpgaWl5//79L82VmZk5aNCgxYsXN5QYBw8eNDY25vF47EeHDx82MTHJzMxsqLooeDzer7/+2q9fP/rNevpGaGjo4cOHO3fuHBoa2hAyfiXp6em6uroCgaBhi719+7aHh0evXr0WLVo0ffr0HTt21NbWJicnT5o0ycHBYd68ecHBwQsXLjx//jxOLxQKd+3a5eDgMHLkyODg4KCgoClTpgwbNqxhpXrw4IGDg8OJEycAICQkpHfv3lKTCQSCBQsWdO/evaHqnTJlyurVq6U+ysnJGTJkSAN2EKk8e/bMyclp79699Snk+78Mv5TKykp/f38HB4dt27ZVVVWtWLHCwcFh4cKF+fn5ABAfH+/u7r5t27avK7yioiIoKMje3r5BRf4H38cZ/vUgws+EWCxWU1Pbvn07QojH49na2k6aNElW4j/++GPcuHHfR7CXL1/27dsXIZScnCwUCr9DjQ8fPhSLxXVJmZSU9HUizZ49e968eV+RUSqlpaUAUFlZyX4kFosVFRXT0tIaqi46ISEhbm5ujJtf7RsikahFixYIoZycnKKiogaQ7wspLi5OTk5GCEkkktevX3+LKvr16zd69GiEEJ/P9/T09PT0RAjt3btXU1OTksHb29vNzS0/Px8hJBQKuVzukSNHqBKCgoKkylwf3N3dcRU8Hu/jx4+ykl2+fLlDhw6Mm18twKdPn0pKSmQ9ldpB6t4x68iAAQN27NhRz0K+58vw68jLy1NSUjp//jxCqLa21sTEZOnSpdTToUOHSiSSry787t27ZmZmDSAliwcPHuCLhn1b/k9CZqe+N5mZmZWVlbKeKigoqKmpcTgcANDQ0PDw8IiJiaEnKC8vp66VlZXpj3g8HmM5icfjIdranEgkYqzg0EtjIBAI+Hw+9e+LFy+UlJQAwNLSEl/QUwqFQnYJIpEIISQUCumV4uVCasqBUQtFdna2t7c3pQ4ugUrJqLFt27bUNb7PsDC7FpFIVF1dzeVK2SgEyyYQCKh5QUZpEomE3YIVFRWM0uiVKigoyDpMqaamhjEBySgca8SY9KJbgKq3qqqKSsDwDVl2ZquTm5tbUlICAE2bNmWfp8kQg20KLFVVVRWSuyjMkIdqX6FQOGrUqKysLADgcDht27alfEBqy9bW1srZuI7h/xSUxVRUVHx8fG7evFldXa2oqIiPwAIAPT29kJCQysrK2bNnA4CSkhLdnlVVVcHBwXSVKZllmaUuUlFVaGhomJqaUvcRQhUVFWzhqf7OFkA+9F5vYmKiqalJV00kErHrogRgdEyKz/YaRp+l92iGr8oBf2uS2uLslyHdyFKdh2FYWSCEGG4v1evkvEsxhoaGAwcODAkJAQAul+vr63v8+HEsZFpamouLC37ty+mqtbW1QqGQMr6czwJ2IWyvq6mpYSRgN+utW7eCgoLwNdsZZNX1n4UMp74rQUFBzZs3NzExefLkyWcT19TU3Llzx83NDf+bnJy8ZMmSzZs3d+jQITU1lZ6yurp66dKlu3bt6tix47Vr1wAgNTV15syZcXFxnp6er169AoDLly+fO3fu8OHDS5YskV9aTU3Nb7/9dunSpbVr144aNaqqqurZs2dhYWGpqak7d+5MT0+nUvL5fD8/v/v37/v5+eF1CoojR440bdr0zz//HDBggIGBwdWrV7Ozs4cPHz5p0iQvLy93d3cA2LVr17Zt2wYOHLhs2TKG7jExMdnZ2bt3737z5k1QUFDnzp1XrFihq6tbXFzMqDEuLu6XX365ePFicXGxj4/PyJEjlyxZ4ujoOGvWLFwUu5a9e/fu2LHj2LFj0dHRjHo3bNjQqlWr48ePT548uWXLlvht4uTkRM1yb968effu3WfPnu3Zs2dKSgoA5Obmzpw5MyIigv4RK0c1CpFI9Mcff1y8eHHatGkrV64EgLCwsNWrV9+8edPNza2qqionJ2fgwIEjR46cOHGira1tz549+Xy+VJvz+fxJkybZ2dl16NAhNzeXUZEcYRjq5Ofn7927l8/n79y588GDB/SUsbGxa9euvXr1qrOzc1paGjuvRCL5448/7Ozsdu7c2b9/f3t7e4RQYGCgmpoa3mFuz549eHRCl6empobevgkJCS9evLhy5UpsbCxeIS0oKJDVssePH1+1atWqVascHBwCAwPxKBDD9n9ZvH//vm3btuyt71RVVUeNGnX+/Hn2R8WmTZvon16vXr2iZGabhZ6xLlJVVlYGBgZ27twZ//v8+XN/f/9z587Z2tr++uuvT58+BYDa2tqVK1cOHDjQysqqpqaGLsCJEydUVFTi4+NfvXplaGgYEBAgFouTk5M9PDxEIhGj16enp3t5ec2ZMwfXNXfu3LNnz44cObJPnz4bNmzAN3Nzc+fOndupU6exY8cCrWPSXxryew3DYxktTn0HEAqFI0aM+PPPPz9+/Dh9+nT83ouMjNTQ0Hj27NmjR49sbW0XLVrk5eXVrFkz6jOeDcPIspyHYdj4+Hh2pQCwcuXK06dP79q1i1pJZHudnHcpA19f3/Dw8IKCAgAoLCzMyMjA35ZPnz49atQokN1VHz9+3L59+xUrVnTq1Ck4OFh+jYxC2F6XkpKybt2669evjx49GqR9fGAkEsnZs2czMzN37tyJewHDGeQI/B/lB8yI/Yehvu7PnTtXVho9Pb3evXuPGzeuU6dOa9eura6uxvd79OiRmpqalZU1dOjQiRMnIoTWrl2L57cXLlx49erVrKysDRs2tGzZEiF09OjR5cuXI4SCg4MXL16Ms799+xYhFB0dLbU0iqVLl86fPx9fDx8+fMGCBQihPXv29OvXjyFqcnJy7969EUI3b97s0qUL/RF+Sz59+hQhtGPHDiMjI4lEsmjRInd3d4RQUVFRRETEokWLsrKycNhTRkYGPXthYSH8PZUVGRmpra1dVlZWVFQktUYnJ6fTp08jhNasWdOzZ0+JRPLu3TtdXV2xWMyu5dmzZwMGDMAZx40bx5i+fv/+PZfLxd/kevbsOWfOHITQmzdvDA0NEUK3b992cHDAKXfv3t2xY0eE0KBBgx4/fowQwoOMyspKqaopKyszFvtWrVq1b98+hFBqauqYMWMQQpMnT8at4+zsfOPGDYRQQEAAlraystLMzGzv3r1sC5w+fbp58+Z4FtDZ2XnKlCl035BjZ6nqJCUlqaurMxq6pKQED48QQsHBwbdu3ZKaNy4uTldXFy93GhkZJSYmCgQCIyOje/fuIYQ2b94std3p7YsQsra2xkbAEx65ublSW7a2tlZdXb2yslIsFmtra+MmoGD7P51BgwZ17tz54MGDv/76a/v27XG/OHDggJaWFj1ZVFQUACQlJSGE1NXVe/fuPW/evGnTpmlra2PPpKBklmqWOkrVq1cvvNgXFRXVpk0bfLNnz57Xrl1DCA0YMGDDhg0IobCwsBYtWuD5P1NTU1wvJYBEIjE3N8fO89tvv/32228IoefPn1+8eBFJ6/U4RhO3HZb86dOnmpqaeDlv3rx5I0aMQAjhcaFAIKB3TAr5vYbtsYwWHzZsGP56Q60rnT9/vlOnTvja2NgYN66jo+OmTZsQQi9fvuRwOLhdKCiHZxuZ7TxSDSu10l9++aW0tBTP2AkEAqleJ+ddykAgEGhra2/atKmwsDAoKMjNzc3X1xchNGPGDCS3qyKEOnfu/Mcff4hEorKyMnaNDx8+xIt97ELYBlm1atWePXvQ358F7I8PivPnz3ft2hVfs51BvsD/Qb7hrugENh4eHhcuXACAbt26yUk2YMAAFRWVixcvHj58WE1NDQDKysrS0tLwF6bRo0c3btyYnj4yMrJdu3bx8fEtWrTAr4bx48eXlZVdvHjxw4cPTZs2BQAfH5+uXbuuWrVqxowZ8ku7fv36/Pnz8XXfvn23bNny559/SpXT0tLy2rVr169ff/r0KWP2G399NzMzw1XMmjUrPz9fRUWlTZs2AKCvrx8REaGmphYfHw8A58+fV1VVvXbt2qdPnwCgU6dOOCNGRUXF0NBQW1sbZ2TXSE0VKCkpGRgYcDgcY2Pj0tLS6upqdi0XLlyws7PD6RmK4xIUFBQ0NDQAoGnTpjiBlpZWUVERAISHh3fo0AGn7NOnz4wZM/Ly8q5du4bblCqNXalU6128eBHHO7dq1QrPMx04cCA1NfXChQtYeKwaNoWmpuagQYOePXvm7+/PtkDz5s3xCuyECRMYAa1yhGGrg8O/2Ny/f9/W1hZfr1q1CgACAgLYeZWUlNTU1PDikbGxcVZWlr29/ZQpUw4cOODi4lJRUSG13entS4c+A8RuWRUVFQ6H8/bt206dOllbWzPysv2fQZMmTZydnQcMGGBoaChVZQDIyspSUFBo3rw5/nfkyJETJkwAgM6dO+N1GTZSTUptufdZqdiKA8CbN2/69+/frl076o6enh6eTjMzMysrK6Mn5nA4fn5+R44c6dmzZ21t7YULFzZs2BAeHr5w4UKpvZ5e17t378RisY2NDbXoCQB42REbQdbSmPxew35LsFv80KFDzs7O48aNk2UToPWFdu3a2djYJCYm0lf5KdhGZjsPdlG2Ydk8f/48Li4uLy8PAGpqatTV1RleJ/9dylbB29v70KFDXC7Xx8fHwsJixowZY8eO7dixI3zuvYFfnoqKigghOTWyC2EbpF+/fh4eHm/evFmzZg1I+/iQ5d4MZ6jji+6/AxlOfVdOnTo1ZswYU1NTR0dH+SmnTJly7969QYMGPXnyRFdXt7y8vLS0dOjQoTgEh7HsXV5ebmNj0759e/xvTU3N27dvd+zYsW/fvpcvX+IX7pQpU0xMTPz9/RMSElasWCGnNA6Hg18fAKCnp4fHc1IpLy8fN27c3r171dXV8ZBCKjgqhfpQofK2aNHC29ubklksFuNvgXI2FKhjjXJqKSoqqnusBgVCCFiW4XA4NTU1OFCGvrk/u1KpZZaWlubl5Zmbm+PyORzO4cOHCwsLFy1ahCNzGekVFRUNDAzkW8DAwIDxepUjDFsdFRUVOaLSrVH3vP7+/lZWVqNGjXJ1da27cT6LkpLSkSNHfv/9d29v7x49ejA61NOnTxn+z6BRo0ZSP4zpxMbGuru7s/0fD6qkIt8sn5WKzaZNm6ZNm9a4cePKyso6/q5qwoQJbdq0efbsWfv27V++fHnlyhVFRUUlJSX575DOnTtPmjRp7ty5pqam+/fvp4+ovhrsw3Xps0OGDDl48GDv3r0HDhxYl5JxX5D6qI5GrqNhJ0+ePG7cOPxDToQQ2+syMjLkWJWNr6/voUOHQkNDZ8+e3apVq19//dXf3//58+dQ567x2c8CRiFsg7Rv3/7Ro0cTJ050cnJKSEhgf3zIeefLr6suuf6HIbFT3xUlJaUhQ4bIH0vh33cAwN69e1VVVUeOHCmRSExNTZWVldetWwcAfD5/y5Yt9CyOjo5BQUE49HvLli1CoXDTpk1WVlYqKipUgOHp06f79euXmJgYGhpqbGwsp7SBAweGh4fj6+TkZC8vL/j7zcjg3LlzAoGgadOmUsMY4e+B0f379/F8G72cjh07bt68GX/2REREJCYmDh48eObMmTNnznR0dMRfdKgIUCqX1BrZslGP2LU4OjqGhobib8k1NTVSg+gpGCUPHDgwJiYGvzXwEkaLFi2MjY3xwZT4vlAoZFcqtXAXF5elS5dWV1dLJJJdu3bV1tYuWbIER5XRtaMuHjx44OXlJd/mr1+/psIaZFlAjjp4mY8tapcuXWJiYiIiIgAgKSkpPDxcal56Fko2ExMTT0/PFStWeHh4yJKHXqmamhpud6mS0FXOyMg4derU5MmTceQZHbb/MwqRepP+L/7MO3DgAPVUqjwMmeWbRb5UFPSKPnz4sHXr1kmTJu3YsaNRo0YMUam4b0oAAGjatKm7u7u/v/+YMWP8/PymTZuGP/CkvkOouvCy7JYtWxYtWuTj48MwC1URo2N+Vn6oW5/V19c/efLkhAkT8EKSjo4OntmqrKwsKSmhfsuCs1dUVBQVFXXp0kVq7XKMTP+XbVh2pR8+fDhz5kzXrl2xvjg7w+ukWrWkpATHC7Lp1q2biYlJr169AEBTU9PLy6tt27Y6Ojogt6vSjSb/s4BdiNTPAktLy3v37mlra+NXIuPjgyqN7lfAcoY6vuj+Q3yvVUXC5xGLxQcPHgSAHj164J+Iv337Vl1d3cfHJysrKywsTEtLy9TUtHv37jk5OWlpaW5ublZWVq9fv/7w4UObNm10dHQcHR1jY2MRQnv27NHT05s+ffrixYtNTU3v3r3bp0+fgwcPXr9+/Y8//kAIMUqji1FTUzNu3Ljff//94sWLQUFBQqEwMzNz2LBhZmZmOAiGAs+ceXl57du3T01NDa/HY/AbcNasWUePHp06dWp2dnZ6erqzs7OlpSUOOKipqenXr5+ysrKNjc3OnTvZ1nB1dR00aNDdu3enTZumqKh4+fJlqTXGxMQYGhr6+vp++PChV69etra2KSkpe/bsAYCQkBB2LQKBYNCgQTY2Nn5+fp6enn369MnMzKTsj1eyrl+//uHDB2traxcXFxxSAADh4eEIoS1btowZMyY0NHTBggXZ2dkIocjIyCZNmowcOTIgIEBPT2/fvn3sSo8cOQIAq1atEggElIJZWVnt27dXV1fv0KHDs2fPEEKjR482NzdfsmTJ0KFDu3btmpmZGRQUZGtru2PHjjVr1uzatUuqBV6+fGlvb79r165Dhw5t2LBBIpHQfUO+nRnqVFRU4A+Jc+fO1dTUMFIqKyubmprOmTMHjy3Ypli4cKGysnJsbOzjx481NDT8/f3xT7Fu3ry5bt06yrvo8vB4PHr7IoSWLl1qb29/5swZPJTBgSbslpVIJG3atDExMbGzs+vdu/fVq1fp0rL9n3p069atpk2bNm/ePCoqirqZlJTUt29fAAgICAgODv7111/nzZuHI3sEAgGutF+/fjjKig2W+dy5c1LNUhepHj582KRJE29v76SkpBkzZmhoaNy8eRMhNHnyZF1dXVtbW2dn5/Xr1/P5/ClTpmhoaMTFxT169EhbW3vChAl8Pp8uAEIoNDR09erVCKGqqqohQ4ZQtTB6fXJyspubG44eS0pK0tXVNTc3b9++vY+Pz6tXr7Kzs7t06dK+ffv09PT9+/cDwP79+9HfHTMhIaGOvYbhsVu3bqW3+MuXL83NzUeMGJGfn9+nT59mzZqFh4cLhcIOHTp06dJl4cKF9vb2eFuKrl279u/f/9ChQ7NmzWK8iOgOzzDytWvX2M7DNixCiF1pTU2Nubm5s7Pzrl27WrVqNWHCBJFIxPY69rt03bp1OEhUKgsXLszKysLXt2/fPnDgAL6W01UfPnxoYGAwdOhQHJ/EqLGiouLXX39VVFS8ceMGuxC21wUEBPz+++8xMTGzZ8/m8/nsjw+KgoICQ0PD33777cmTJ2xn+Ow7/L8GGU79mxCJRMXFxbKeFhUV0XcuoTZAqqioQAiJxeLq6mocwVqX0qqrq6koeDnU1NTgrzW4Fgo8nMrPz5ezqw1CqLS0VNaWURKJRKoAsmr8olrKyspEIhF9cFN3cDQo/Y5YLC4rK5NIJPRa5KhGp7i4mN1qYrEYB/YGBQXNmDGjvLycXpRUC5SVlTEChOnIEYatjiz4fD5jV62652WYWr5xsO7yyc7O3rVrV05OzsuXL+Pi4n799VdGAob/f2voMssxyxdJJRQK165dm5eX9+bNm4SEhHXr1r169aouAkgkEj6fj68Zw2JZvf7u3bvh4eFpaWnPnz+/c+fO77//LqsiWR1TDl/RZxFC5eXlCCFKka5du54/f74ue6F91shyDMuoVCwW43dmdXV1bW2tLK9jWBW/bGWJR28Rekth6vjekP/2ZhTC/iyora0tLS2lZ2F8fNCllb/NWB0F/i9AFvv+TSgqKtJjdBjo6+vTQwip7WTwVDbe0Yq+9CC/NDU1tbqsoKuqquIlfGolAoOnhSUSCSNkioGOjg5jFysKDocjVQBZNX5RLdra2oqKil8RRAUAioqKjLhpBQUFbW1tDodDr0WOanRwhA31L241KrBXIpGIRCItLS16UVItoK2tLXUbrc8Kw1ZHFioqKvQ9ir4oL8PU8o2DdZfPli1b8vPzGzdu3K5dO2NjY+rnBRQM///W0GWWY5Yvkio6OvrOnTvq6urW1tbm5uYGBgbNmjWriwD0mC1GgLCsXj9//nxlZeXmzZu3a9dOW1ubiqRhI6tjyuEr+iwAaGlpAQClCO4L7L3Q2HzWyHIMy6hUQUEBvzPV1NS4XK4sr2NYFb9sZYlHbxF20GEd3xvy396MQtifBVwuF68wUjA+PujSyg+kq6PA/wXIcIrwTQgJCTEzMzt9+nRdNsr7b8LjgdwdkSAjI+PVq1fv37/Hv+Ih0Jk2bVpGRkbnzp29vb2vXbs2ceLEHy1Rw+Pu7m5nZ9e9e/dBgwatX79+8ODBdRy8fgV4NdnJyWn06NF5eXlDhgz5RhV9HfHx8Twe786dOxkZGfUv7asN+1/wOsJXw0E/34m2BML/PC9ewIsX8PQpNGkCtO0/CQQCgfCvhMxO/ev5Fqd8I4Tk/PLoG1X6dXXJl/Nb1/7V5bRqBePGwfTpQDvSg0AgEAj/Vshw6l8Mn89fsmSJnCiHr+PUqVPNmjXLzMyU+hQfd3DlypWGrVQqOTk5Pj4+sg6KP3LkiKmp6du3bxukokmTJvn7+wcFBf3222++vr6///47AHz69ElbW5t+Fh4ApKSk4MPhN2/ezOPx+Hz+3r17HRwcxo0b9+bNG3bh6enpffr0wWf7UDRqBB8+wMyZ0LVr/cUnEAgEwg+GDKf+xaiqqnp6en726M0vxcfHJycnh33/4cOHANCxY0cFBYXvs0ZsbGzctm1bxrHNFBMmTMBHXtST169ft2vXbtCgQfv27VuzZs2WLVusra3x/uCmpqbx8fFUkC+2QOvWrT08PPAG5ZqamqqqqtOmTXvz5k3nzp1tbGzY5bdo0aJ58+bsWTQLC9i1C5Yurb8GBAKBQPjBkOHUzwifz2eMIXg8HnvVqaKigvFjLh6PJ5KxeiQUCvEhaBixWIx3IWec8FpZWamgoMD+iceaNWuoHY2pShkntAuFQqmHvcPfB85T0zzsetkK4p8oM34zQleQw+HI+i0bWxIsgNTtB/38/Hr27EmPvV28eDF19IS1tTUeCbEtgH+shFFUVKT/y4CSkzHRZWkJrVrJykQgEAiEfw1kOPVzIRaLV6xYcf78+blz5+KD8zIzM2fPnh0VFeXv7x8QEICnhR49ehQQEBAaGkod0FZTU7N06dLdu3c7OTmdOnWKXqZQKPTz84uNjZ05c+aOHTsAIDw83NDQcO/evePHjzcxMXnx4gUA5Ofnz5w58/r16wsXLmRMpRQUFOBNb48ePYrvPHnyxN/f38LCAm/OCwC7d+/eunWrl5fX7Nmz6XlTUlKcnZ1nzZq1YsUKV1fXmTNnnjx50t/fv3nz5k+fPpWl4KFDhzZv3nzixInQ0NDPKkhHIBAEBARcuHBh27ZtgwcPLi4uTk5Obt++fWBg4Jw5c1q3bk3tc43JzMxMSEhgHG3B4XCmTp0KAEePHjU1Nc3MzGRbQCpCofDXX3/t1KkTANy5c0dXVzc6OpqqaPDgwa1atRowYACfzw8Lgy1bICICyG+DCAQC4X+BH7rrFYHJ2rVrt23bhhDKzc0dPHgwQqhHjx6XLl1CCEkkEisrq0OHDlVXV1tbW+Nt4i5fvowPEl+0aNHFixezsrL27dunra1N33jtw4cP3bt3Rwg9fvzYwsIC31RTU7t16xZCaNq0acHBwQihoUOHxsXFIYSKi4sBIC0tjS7Y7Nmz582bh687deq0ZcsWXHurVq0QQpGRkfPnz8/KysIjM7zHN8XYsWPnzp2LEHr//j0AfPjwASEUEBAwf/58qQomJibiI+hxvfigeKkKqqurMzY2XLVq1axZs/C1v78/PrC9b9++S5YsQQidPXvW2dmZnj4yMhIAqKPsEUJPnjwZP3780KFD79+/j+cIsSnoFsBHF/v7+8/4Gy6XizeFv3z5sp2dHU5mbW0dERGBEJoxYwbenLqkpMTExGTz5s0SCSosRNK2zSMQCATCvw8yO/Vzcf78+R49egCAkZHRlStXampqbt++7eDgAAAcDqdPnz7h4eEPHjzQ1NTE28RR591GRkZWVlbGx8fr6ekdPHiQvlbYunXrGzduREZG3rt3j1oCU1JSatKkCQCYmJhkZWUJBIKrV6/iqHY9Pb3PHoCKjxZv0aIFPlMzIiKCw+HEx8e/f//+/PnzjNNJlZSU8OZ4+DxzLLO2tnZRUZFUBc+dO2dvb4/zUkXJUZBOWFgYdSRi//79r1+/jgUwNDQEAGNj46ysLHp6LAw+qwvj4ODQqFGjvLw8Z2dnLpcrxxRbt27d9Tef3RG0TZs2AIBP24iLi+NwoHFjkHFwO4FAIBD+ZcjcRpnwQygpKcnLy6NHNHM4nJycHDMzMwDQ19fPz88vKipih5+Xl5dbW1t37NgR/0s/3LuystLX13fXrl1GRkYbN26UWm9paalEIikvL2fsoVxHcO1ferQ4QojD4UhVkB28JUdBOrg0fK2np/dZdaysrPT09O7duzdo0CDqprKy8pfu+1x3mjRpImssSCAQCIR/KWR26ufCxcVl+fLl+IilPXv2iMViT09PKn4oKSlpxIgRHTp0+PDhw/PnzwGAz+fjA8A7duy4ePFifL1///6SkhKqzLNnz/J4PFNTU6nn2OM7RkZGJiYmp0+fBgB8vBr9XHH43NHiePnv06dPAPDgwYPY2Fg5OiLarwLxjxMZCnbs2DEsLAxXV1NT81kF6QwePPjq1av4Ojk5efjw4Wxl6airq2/dunX37t0vX76UKqFUC+By6KMiiUSC/9XR0cFnaQkEgry8PPbI6fXr176+vlKFJxAIBMK/lR+50khgkZ2d7ejoqKamZmdnhw/3zsrK6tWr14EDBw4fPrxx40acbP369UZGRuPGjZs8eXLz5s0jIiJSU1OtrKy0tLTat28fHh5OL/PZs2e6urpDhgw5fPiwqqrqmjVroqKiAGDVqlU5OTnOzs42Njbp6enR0dGGhoYjRowIDAzU1dVdt24dvZDo6GgjI6O1a9fev3+/cePGI0aMKCwsnDNnjqKi4q1bt/h8/sCBA5WUlKytrfFR9hTv37+3sbHp1atXTk7Ovn37AGDDhg25ubkeHh729vZpaWlsBYVC4bBhw9q2bTtp0qT+/fu7uromJyezFTx27BgA4IPfqeoEAoGfn19gYOCVK1cWLFhQWVn57t275s2be3l55efnT58+ncvlPnz4kGH2mJgYJyenWbNm7du3b8WKFb169Tp79qxEIjl8+DAArFmzRiAQUBZ49erVsGHDAGDFihWVlZU1NTX4pHo3N7fXr1+LRKJOnTp17tx59uzZXbp0mTlzplAoPHXqVNeuXY8ePbpt27bjx483mLsQCAQC4eeAHDLzM1JSUqKrq0tf8CovL9fU1KT/FF8gEIhEImVlZS6XS6UsLi7W1dVlh/vw+Xwul8vlcnk8noaGhtSjLgFAIpFUVFTo6OgIhUJ2MFBVVZX8s2nxWiHjRM86wlawoqJCXV1dIpHQJZGlIAM+ny+RSOjnPdeFmpqaT58+mZmZyVLhsxagqKio0NLSEggE9KJKSkrknFpKIBAIhH8vZDhFIBAIBAKBUC9I7BSBQCAQCARCvSDDKQKBQCAQCIR6QYZTBAKBQCAQCPWCDKcIBAKBQCAQ6gUZThEIBAKBQCDUCzKcIhAIBAKBQKgXZDhFIBAIBAKBUC/IcIpAIBAIBAKhXpDhFIFAIBAIBEK9IMMpAoFAIBAIhHpBhlMEAoFAIBAI9YIMpwgEAoFAIBDqBRlOEQgEAoFAINQLMpwiEAgEAoFAqBdkOEUgEAgEAoFQL8hwikAgEAgEAqFekOHU/xRisfhfVOy3qJfK8qNk/tb8EL2EQuG3KFaWLv+rbfcTQkxNIDQUZDj1E7F582YHB4cZM2bk5+eHhoZ27dq1f//+CQkJAFBSUjJ79mwfH5/MzExZ2T99+qStrV1VVdWAIj158qRTp04nTpxowDLrjrW19c2bN+uYOC0tzcfHZ8yYMV+R918Bn89fsmRJ+/btv2el169f37dvn7u7+7Fjxxq2ZDnu+tVt9+7dO19fX0dHx4ULF86ePXv+/PmfPn0qLi5etWqVg4PD2LFjg4KCAgMDN2zYUFZWhrO8fv16xIgRHTt2DAwMDA4OXrRo0YABA44ePVoPzf4d/BB3IhD+l0GEnwlHR8fx48fj619//bV169bUo23btt26dUt+9levXsl5+uTJE4FA8KUiubm5HTly5EtzNQjJyclfJPDq1auHDRv2dXnpxMXFfV3GL6WsrOzNmzd1T3/nzh0zMzNZTx88eFAfYdhai8XiZs2aiUSiwsLCnJyc+hQuFVnuWp+227Jli5aWFr7evn27hoZGSkpKSkoKAMTGxiKERCLRvn37DA0Nw8LCcLKVK1fq6elRJRQXF2/cuFFOFV/Xj35C5LsTgUD4Isjs1PcmMzOzsrJS1tNp06ZdvHgRf2WfPHlySkrKw4cP8aOkpCQPDw98XV5eLjW7tbW1RCLB1wKBAACounJzc4cNG0at2tTW1gIAn8+n8rLLrKmpqa2t5XK58jWSSCTV1dX0O0KhkHGHAiHE4/GkPsKy0Z9aWlpyOBz60+rqaoQQPRddbGVlZal5sSmqq6vpSxsIoYqKCrYYa9asuXDhgqwq2DBas7a2tra2lqqInZeqtLa2dvTo0R8/fqQeybEbzshoC6FQiFUDgJiYmPnz50utCCMWixlrdnTZ2FoDQFFRUX5+vqKiYuPGjZs2bQrSjMZ2JEo2AGBMPtEFhn+6K70cdtuxu4ysRqGbaMKECVVVVbdv31ZUVAQAXKaiouLUqVNnz549ZsyY3NxcANDU1KSXoKysPGPGDJBmMWD1I/hcq9XU1ND/leV1DBhexO4ycnySz+djY1LweDz2op5Ud5KjCIFAkA8ZTn1XgoKCmjdvbmJi8uTJE6kJvL29a2tr8QdbUlKSvr7+gQMHACA3N9fExITD4bx//z44OHjbtm329vYvX76k5z169KipqWlmZmZJScmoUaO8vb2XLVvWtWvX0aNHA0BMTExmZub+/fufPXuGJ/k3bNigq6ubnZ0dExOzePHiqKio/v37nz59GgBEItGiRYvOnz+/cePGt2/fAkBBQYGrq2tAQIBYLN6yZYuKigr+nDt27Nju3bv379/fp08f/NLfvXv31q1bvby8Zs+ezdBu7dq1ISEhR44cGT58OP1+Tk7OkCFDvL29J0+e3KFDBycnp9LS0ocPHzo4OJw6dUogECxYsMDe3n7JkiU9e/Y0NjZ+9uwZAMgxBZUXIbRy5UorK6u9e/cOGTLEwsICfxCGh4evW7du8eLF7u7u9I+3goKCiIiIxMREvNzDtgyjltWrV4eHh3ft2vXVq1dPnjxxcHBYtmyZi4vL9OnT2eJdv359xYoVMTExLi4uRUVFL1++fP78+bVr16Kjo+Xb7dGjRwEBAaGhodu2bcN3hEKhn59fbGzszJkzd+zYIZFIzpw5k52dvXPnzvLyckZFAHD8+PFTp06dPHnyt99+Y5uOoTUmPz9/7969tbW1O3fuvHPnDgDs3Llz+/btly5d8vDweP78eXZ2to+Pz7hx48aMGWNnZ0dlTEhIsLOzCwgI8Pb2btmy5ZQpU9gC092VUQ7VdlLdGABevXo1efLky5cvt2vXburUqbdv3wYZfPjwAQAcHR3ZjyZPnlxRUXH16lXG/Zqamq1bt6qpqTEsRkH1o7dv3woEgoCAgAsXLmzbtm3w4MHFxcX0lImJiWvXro2MjBw6dCi+wzCg1D7F8KK8vLzg4ODw8PBBgwadOnWK3Xb0GsVi8YoVK86fPz937lw8ts7MzJw9e3ZUVJS/v39AQAD+KsJ2J5DrfgQCoU78wJmx/yD6+vrY7HPnzpWVZtiwYa6urgihiRMnHjhwQF1dvaKiYsOGDSkpKQihHj16fPjwISsra/z48QMHDqRnxF9J09LSEEJ//vmnm5ubWCzOz89XVlauqqoqLS0FgMrKSoTQzZs3NTQ0CgsLi4uLy8rKDAwMioqKEELZ2dmqqqrJycnbt29fs2YNLtbOzg4v9s2ePXv27NkIocLCQgCoqal58OCBl5cXTjZq1KiUlJTIyMj58+dnZWW9ePECAJ49e0aX0MHBobCwECGkoaHBWDwKDAz09PRECPH5fFtb26VLlyKEXFxccNVRUVF6enrl5eUIoSlTpmD7sE2xYcMGarGPypuQkKCpqVlWVoYQatu27c2bNwsKCvr06ZOVlZWVldWmTZvNmzfTJZk9e/a8efMQQlItQyUrLS21sbERi8UIofXr11+8eBEh5OzsvGjRIrFYXFJSwhbP39//+vXrCKF+/frhoZ6dnR1ecpJjt+rqamtrazwtd/nyZbw68+HDh+7duyOEHj9+bGFhgR916NABZ2FX5OLi8uLFC4TQjRs3pJqO0ppOWlqagoICvr53756dnR2+PnPmTMuWLWtra4ODg52cnCQSCbYShZOT0+rVq3EJSkpKt2/fZgtMd1dGOVTbsd0YK3XhwgWE0Lhx4xYuXMiQeceOHaqqqkeOHFm9enW7du327duHxQCAe/fu0VMaGRnNnz8fIbRlyxZVVdV58+bNmzevT58+kyZNYluM3u5UP1q1atWsWbMom/v6+tJTLlmyZNu2bVQJUg3I7lMML+rVqxcWIzo6OigoSGrbUaxduxbXmJubO3jwYJz40qVLCCGJRGJlZXXo0CGp7iS/2xIIhLrwmXUcQsPi4eGBZ566desmK83YsWOHDh16+/ZtIyOjkSNHzpkz58yZM+/fvzc3Ny8rK0tJSUlMTASAAQMGaGlp0TNyuVwFhb+mG5WUlBo3bqygoNCkSRORSFRQUKCjo0OlVFFR0dfXb9y4MQBERUVpaGjgcZ6xsbGVlVV0dPSZM2eWLl2KE+NkUrl48SK1/oi/Ou/YsUNJSSk+Ph4Azp8/b2BgQE//5MmThISEe/fusdcHlZWVzczMsGzDhw9/9OgR0BbvlJWVdXR0sL6+vr59+/aVbwp6XiUlJWVlZW1tbaxgVlYWj8fjcDhYyNWrV5ubm0vVLj4+nm0ZS0tL/PT+/ftt27bFBl+4cCFlWHyTw+Gwxdu7d296evqFCxcKCwsZ6kdERMiy24MHDzQ1NdXU1Oht0bp16xs3bkRGRiYlJbEXaNgVTZw40dXVddmyZXPmzPms6aRy7dq1Dh064Ot+/fqNHDkyOTlZVVW1TZs2HA6H+p5AGR+3ZosWLZydnZ8+ferh4cEQmO6ujHLobcdw4xYtWgDA69evvby87O3t8/Pz2aJyuVwnJyd1dfUFCxYoKSlJVaempqawsJBqenV19U2bNuFrPB9Mt5gsm4SFheFlQQDo37//hAkT6E+9vb3d3d3fvHmzfv16WQaUWizlRVwu99mzZ3jmz9PT09PTU37bnT9//vjx4wBgZGR05cqVmpqa27dvHz58GAA4HE6fPn3Cw8PNzMzY7iTH/QgEQh0hw6nvyqlTp8aMGWNqaip1AQLTr18/XV3dUaNG3blzR1NT09vbe/ny5YsWLQKAioqK0tLSIUOG4KAHoVAoFotxXMhXw+Fw8vPzJRIJ/mzT09NTVVUtKiqSHzCEKSkpwe9lDEKovLzc2tra29sb32EEjkybNm348OFDhw5VUlJC/wyBoqOoqCjnhY6fSjXFZwXGYNVkCUkh1TLU05KSkry8POpfhBAV7gMyWurkyZNZWVnBwcEhISGIFQEmy25S26KystLX13fXrl1GRkYbN25kPD1+/DijokmTJpmamk6bNu3u3bs7duz4CtNxOJycnBx83ahRI0VFRbo15IDbS77AX8TGjRv9/PxMTU3T0tJ+//13dgIFBYW2bdvKLyQuLk5BQcHT05P9CK9O0i3GXhPE0G3CcA8AsLe3f/z4sZ+fn4ODw6NHj77CgKWlpeXl5TU1NbiXIYTkvwGwT9rY2DAkxENbfX39/Px8qe4kv9sSCIS6QGKnvitKSkpDhgyRM5YCAGVl5eHDh5uamlpbWwPApEmTcnJy8JvO1NRUTU1txYoVAFBbW/vnn39S3+9lgSchAUBFRYXD4VAxrdTHuZOTk4aGxq1bt/DNnJycvn37Ojo64tkmAODz+TjeSEdHBwfiZGRkYAFcXV3379///v17ALhx48aLFy86deq0ZcuWT58+AcCDBw9iY2MpSVJSUo4dO+bq6lpbWysUCqkYZArqTmxsrI+PD11I+tN79+6NGDHis6aQOlzDhTg6OkZHR9+4cQMA8vPz8dd3CjU1NWwlqZahknXp0iU+Pv7KlSvYIGfPnqXXK1W8xYsX41lJHo+HJaHqkmO3Dh06fPjw4fnz5/S2OHv2LI/HMzU1ZRcFAOyKQkJCevXq9fz58/v37zdq1IgtGz073YaUGQcNGnTv3j38SZyammpnZ4endmQNi3G9IpHozZs3ffv2ZQvMrktO29El+fDhw4YNG/z8/Hbs2MEedkskEnZ2Ro0fP34cO3bsunXrLCwsZGWhW4w+/qD3o8GDB1MjreTkZEZEYEhISOvWrWNiYszNzePi4qQakN2n6BZo1qxZ06ZNFy9ejBCqqanZsWOHfLd3cXFZvnw5Xojcs2ePWCz29PQMDQ3FT5OSkkaMGCHVneS4H4FAqCvffj2R8MXcv39/69at+FoikdBjMq5fv66jo2NiYuLi4pKamkrdl0gkeFiwZs2avLy8vn37Wlpavnv37uTJkwCwadMmhFD37t379u178+bNGTNmcDicM2fO4Lx379719PS8cOHCmjVrcMxNRkZGu3bt3N3dZ8yYYW9vP3HixNLS0qSkpObNm/fs2XP79u2NGjU6dOiQSCQaM2YMl8tt1arVzp07EUJ8Pn/gwIFKSkrW1tY4eoaCz+dbWFg4OTlt2bLF3t7ey8uLx+NRT3///XdLS8utW7du3rwZh23dvXu3adOmI0aMyMvLwxN1f/zxx5EjR2bMmIEzMkyRlpbm7u7esmXL58+f0/MuXrxYUVHx1q1bL1680NfX9/Hx4fF4K1eu5HK55ubmo0aNwgErFNHR0UZGRmvXrq2urmZbhs727dtVVFSMjY0nTZokEokePnxoaGjYv39/3C7slho7dmzz5s2DgoJ8fX1/+eWXpKSklStX2tjYnDhxQo7dEELr1683MjIaN27c5MmTmzdvHhER8ezZM11d3SFDhhw+fFhVVXXNmjXFxcWGhoYzZ85MT09nV9SrV699+/bduHFjwYIFUmWja40rraioWLt2LQCEhITgT+idO3eOGDEiNDR04cKF79+/T09Pd3Nza9WqFXuHBTc3tz59+hw4cGD+/Pnh4eEIIYbAq1evptz1/fv39HKotktOTpbqxtOnT9fR0bG1te3SpcvSpUtx+BomOTm5R48eALB3714sM0KoqKgoMDAQAAYPHoz3nRo9evTDhw/x01evXuGh54EDB+iewLAYHdyPHjx4IBAI/Pz8AgMDr1y5smDBAqpGTEBAQHBwcExMzMyZMysqKtgGRAix+xTDi2JjY42MjPT19bt164bDDWW9ARBC2dnZjo6OampqdnZ2eFeIrKysXr16HThw4PDhw9TuD2x3ku9+BAKhLnCQ7DUXwg+Ez+dTawH0awCQSCSlpaWMaJW6gBDi8/n05Tk6JSUlenp67DtCoZCKZRGLxXw+X0NDQyAQqKio4JuVlZUqKir0TQrKy8tVVVWpBHQBqqurcXYOh0PPsmzZsk+fPm3dupVRFCYmJsbPzy8pKUkgEDRq1Ii6/9WmAACBQCAQCKRGDlVVVWloaDDsILWQ2trampoaWeFHbPEqKysbNWqEEKqqqsK/z6fXJctuWFqRSKSsrMzlcvGqIp/P53K5XC6Xx+NpaGhwOByBQMDlcvHSD6MiiUQiFApFIhG1KQBbNobWsjSqqKigx+FJpVu3blOmTMHL1tQaKFtg+YVIRSQSbdq0afz48aWlpTwe7/nz561atZK6ZldP2BajYPQjPp8vkUjU1dXZJSCEKioqdHV16TcZBpTapxjVlZaW0j1QvtuXlJTQzQ4A5eXlmpqa9KgAtjuBXPcjEAifhcRO/aTQx0+MGAsFBYWvG0BwOBxZYykAYI8Y8B364EZRURF/4tLfufTxDQbHfUsVgJ0dI5FIRCIRuyj6U2VlZcZI66tNgWWQ9cnBGFXIGksBgJKSkqxgZ6niYQU5HA71IU2vS5bdpEpLeQVVFLtRqIoUFBQ+60WfHUvhXJ8dS8Hf7cWwG1vgr+D27ds3btyYPn26kZFReXl5SkqKlZXVV5cmB7bFKBj9SFYyvAxHH0uBNANK7VOM6hiWlO/2bHdl+5VU55fjfgQC4bOQ2CnCjycjIyMxMfHjx4/4RB0GVVVVYWFhCgoKV65cIZOpPz/x8fHl5eV3796l71DaULi6ujo6Ovbs2XPAgAHLli1zd3c3MTFp8FoIBALhSyGLfQQCgUAgEAj1gsxOEQgEAoFAINQLMpwiEAgEAoFAqBdkOEUgEAgEAoFQL8hwikAgEAgEAqFekOEUgUAgEAgEQr0gwykCgUAgEAiEekGGUwQCgUAgEAj1ggynCAQCgUAgEOoFGU4RCAQCgUAg1AsynCIQCAQCgUCoF2Q4RSAQCAQCgVAvyHCKQCAQCAQCoV6Q4RSBQCAQCARCvSDDKQKBQCAQCIR6QYZTBCmIxeL6Z/mKQr6o/G+R5acqv2EF+OHSYoRC4Y8WQR50K0kkkq8oQSKRIIQaTqL/Oj+J334RDf4y/DpXJHxnyHDqpwMhtH379jlz5qxatSogIGDdunXf84WSk5MzbNiwefPm1T3LkydPOnXqdOLECfrNT58+aWtrV1VV1V+ktLQ0Hx+fMWPG1D1LTk6Oj4+Pv79//WuXilSVvyePHz9u3779lStX6p7F2tr65s2b30yiz3P9+vV9+/a5u7sfO3bsB4ohiwcPHnTq1Gnv3r0AcOTIEVNT07dv335FOdOnT1+6dGlDS/df5If3sq+Az+cvWbKkffv29Ju7du0yNDTk8/lfUeD58+fNzMyePXvWQAISviFkOPXT4ePj8/z5861bty5ZsmTjxo05OTm9e/f+Dt9Onj59KhQKjY2NW7ZsKRKJ6p7R0dFRTU2N8Y3c1NQ0Pj5eQ0Oj/oK1bNnS3t6+tra27lmMjY3btm37RVm+CKkqyycuLq5Bqn748CEAdOzYUUFB4YsECA0NdXNzaxAZvgKJRDJt2rTJkyeHhob26tXrR4khB2dnZ21tbWzSCRMmFBYWfl05y5Yt++233xpUtG9IQ7nlt+AretkPR1VV1dPTs7y8nH7Ty8uruLj46wocPnx4ZWVlQ4hG+OaQ4dT3JjMzU073CAsLu3jx4qpVqzgcDr6zevXqhISEw4cPy8oikUjEYjH7q49AIAAAoVBIjSoY9QqFwurqanydm5s7bNgwvBDD5XLxzYqKCkaZjNcEANTU1NTW1lJZ6FhbW1OjQLFYLGuVByHEqAhLXl1dTU3LKSsrS80rFbFYXFVVpaSkJEdyLAyPx2PcpAyCyxGLxSKRiGFbtsqyVKDKj4mJmT9/vlRpGZVSeaU6yZo1ay5cuICvKQEYKXk8ntTRsKWlJeVUdfENnIZCJBKx5xrZ/iBLr6Kiovz8fEVFxcaNGzdt2pSeEiHEaAh6ISCtmeopm6yiKDfjcDgMl+bxeHWcJDY2NtbS0sLXslyourpazlif3e/Y9mHcYXsgn8+nD0QY/2LYbilHTXYX5vP5DC2k9gK6a8kyCNtp5bxYpHoF24twMoZjMCrC8lPC1NTUsKuro2pUMrbM1B0+n88wL7v7A6sVZL395EhL+CGQ4dR3JSgoqHnz5iYmJk+ePJGa4OrVq2ZmZiYmJtSdRo0atW3b9vLly69fvzYwMAgLCysqKpowYQKeaTh58mSzZs327dvXunXr06dPU7k2bdpkamp68uRJf39/MzOzGzduLFu2zNPT08fHByfYvXv31q1bvby8Zs+eDQAxMTGZmZn79+/HCxyFhYXz5s1zdXXt06cPTh8TE7N48eKoqKj+/fvjikQi0aJFi86fP79x40b2ssjRo0dNTU0zMzMB4Pjx46dOnTp58iT7W/vOnTu3b99+6dIlDw+P58+fI4RWrlxpZWW1d+/eIUOGWFhYMN7gx48fV1VVxYPLT58+ubm5FRUV0RMcOnRo8+bNJ06cCA0NxXfev38fHBy8bds2e3v7ly9f5uTkDBkyxNvbe/LkyR06dHByciotLWUbJDw83NDQcO/evePHjzcxMXnx4oUslcPDw9etW7d48WJ3d/eKiork5OT27dsHBgbOmTOndevWBw4ckEgkZ86cyc7O3rlzJ/0zXiAQBAQEXLhwYdu2bYMHDy4uLi4pKRk1apS3t/eyZcu6du06evRoumoFBQURERGJiYlHjx7Fd548eeLv729hYbFu3ToAqKmpWbp06e7du52cnE6dOkXP+/DhQwcHB3xTvm8IhUI/P7/Y2NiZM2fu2LEDZz99+vSyZcu2bNlib28fEBCQlpbGsCq9LrZe+fn5e/fura2t3blz5507d+iJ165dGxIScuTIkeHDh9PvS22m+stGIbUoqWRmZs6ePTsqKsrf3z8gIAAhNHXq1ObNm+fk5ISFhampqe3fvx8AoqKiRo4cmZ6ePmLEiGnTpslyIQCYP3/+yZMnJ06c6OHhERwcTK/r+vXrK1asiImJcXFxwY6dl5cXHBwcHh4+aNAg3HzsOwwPBIAlS5bExsYuXboUr5Qx/sUw3JKtJl0wRhcWi8UrVqw4f/783Llz8YCMIblUT5ZqELbTynmxyOq8DC9KSEiws7MLCAjw9vZu2bLllClT2BXV1NTgVbkNGzbo6uq+e/duwYIFMTExI0eO/Pjxo5xGkdVJHz16FBAQEBoaum3bNqmOtGnTJg8PDwMDg/DwcJDWTaQ6G5W9rKzM1dX18OHDxcXFiYmJa9eujYyMHDp0qBzXJXxvEOE7oq+vj80+d+5cqQnc3NxcXV0ZN729vdu0aYMQsrOzu3z5MkLo/PnznTp1Qgjhb1eRkZE8Hg9/AcXgN0J5eTlCaNSoUaNHj0Z/f3urrKyMjIycP39+VlYWfqM9e/YMv5UqKysRQgsXLhw8eDBCqKSkBACysrLKysoMDAyKiooQQtnZ2aqqqsnJydu3b1+zZg2uzs7O7siRI3SZsWBpaWkIIRcXlxcvXiCEbty4QU9z7949Ozs7fH3mzJmWLVvW1tYmJCRoamqWlZUhhNq2bXvz5k2E0IYNG4YNG4ZTuru7r1u3DiGUlJS0a9cueoGJiYm9e/fG17Nnzx43bhxCqEePHh8+fMjKyho/fvzAgQMRQoGBgZ6engghPp9va2u7dOlStkEQQmpqardu3UIITZs2LTg4GCHEVrmgoKBPnz5ZWVlZWVlt2rTZvHkzQqhv375LlixBCJ09e9bZ2RkhdPny5Q4dOjCaddWqVbNmzcLX/v7+vr6+CKE///zTzc1NLBbn5+crKytXVVXRs8yePXvevHn4ulOnTlu2bMGFt2rVCiG0aNGiixcvZmVl7du3T1tbWywW0/O6uLjgNpLvGx8+fOjevTtC6PHjxxYWFgghsVjcqFEj3PpmZmYRERFSrSpfr7S0NLw6ycDBwaGwsBAhpKGhkZOTQ3/Ebqb6y0bBLgoh1K9fvx07duBrdXX1V69e4dIuXbqEEJJIJFZWVocOHfr06ZOqqioW28PD49ChQwihCxcuPH36FCG0ZMkS7HhImgs9fvzYxsaGMgjucRT+/v7Xr1/Hkpw6dQoh1KtXL9x3oqOjg4KC2HfYHigQCFq0aIFLjo6OZvxLr47ulmw16SkZXXjt2rXbtm1DCOXm5uJ3BVtyqZ7MNgjbaeW/WNheIdWLnJycVq9eje2spKR0+/ZtdkU3b97U0NAoLCwsLi6+devWkCFDcPoPHz7IbxS2atXV1dbW1tXV1diqZmZm9BLwwjE24J9//tm4cWOBQCC1m0hthSZNmjx8+HDDhg0fP37E6ZcsWYLtz3ijEn4sZHbqu+Lh4YEvunXrJjWBsbFxXl4e42ZmZiZ9vooOl8tVUFCwtLTU0NBQUVGh7uOlLrzo0LRp08aNGwOAhoaGgoJCcXFxREQEh8OJj49///79+fPnDQwMGMXi6nR1dbW0tMrKynAUFB4LGhsbW1lZRUdHnzlzhoq4xOWzBcPXEydOdHV13bx5c/fu3elprl271qFDB3zdr1+/tLS05ORkJSUlZWVlbW1tXFdWVhaj5MDAwG3btgmFwkuXLo0aNYr+6Ny5c/b29vgaK1VWVpaSkpKYmBgfHz9gwICZM2cCgLKyspmZGQCoqKgMHz786dOnUg2ipKTUpEkTbA0sBlvluLg4nDE+Pn716tXu7u44o6GhoSz5KcLCwhwdHfF1//79r1+/jvM2btxYQUGhSZMmIpGooKBAVnYAMDU1BYAWLVqUlZUBQGRkZGVlZXx8vJ6e3sGDBxkLMdSSgXzfaN269Y0bNyIjI+/du4eXIRBCHA7n9evXAGBnZyfLqvL1ksWTJ08+fvx4+fJliUTCWPVgN1P9ZaNgFyWVmpqa27dvOzg4AACHw+nTp094eLiJiUmPHj1OnTolkUgkEsmRI0cAIDExETszoxsyXAgAUlJS8BCHWhOk2Lt3r5WV1YULFwoLC6urqysrK589e4b18vT0XL16NfsO2wOVlZXd3Nzs7OwiIiI8PT0Z/9ZdTXoCRhc+f/58jx49AMDIyAj/HoIhOcjwZLZB2E4r/8XC9gqQ5kVUshYtWjg7Oz99+pRdkYqKir6+fuPGjfX09Lp06ZKUlOTh4cHn81u3bi2nUaSq9uDBA01NTTU1NakyY9q0aQMAU6ZMKSoqSklJYXcTOa0wY8aMxo0bt2zZEv+L58b8/f07duwotS7CD0HKyjTh23Hq1KkxY8aYmppSHYmBu7v7hQsXqqur1dXV8R2JRPLq1asFCxY0lAwIofLycmtra29vb3ynpqaGEYzCgMPh5OfnSyQSPELS09NTVVUtKiqqS3gKAEyaNMnU1HTatGl37969evUqvdicnBx83ahRI0VFRVVVVVlhNBS9e/du0qTJqVOnqqurdXV16Y+Kioqo8CBMRUVFaWnpkCFDcPiCUChkxC4oKioaGBiwDSK1arbK+N/PZpQKXX1s0rrnlQrWgnrDfkVoBUKosrLS19d3165dRkZGGzduBABFRcVjx46tXLkyJSXF2tq6d+/eWVlZbKsqKip+hV7Tpk0bPnz40KFDlZSUkOygY9xM9ZeNgl2UVDgcDlYHfzbr6+vn5+cDgL+//9KlS42NjdesWePt7X3z5s0WLVp81rwA4ODgMHv27FmzZllZWW3YsEFTU5P+9Pjx41lZWcHBwSEhIQih0tLS8vLympoa/Dkt9Y5UDzx69Oi2bdt8fHz++OOP3377jfFv3dWkYHThkpKSvLw8Gxsb/BQhFBISQpe8LqbAsJ227i8W7BXwOS+i93FZvUNNTe3Jkyfz5s3r2LFjRESEi4sL9YjRKFIlqbvMOjo6WB52N5HTClOnTp0/f37nzp2trKwAwN7e/vHjx35+fg4ODo8ePZI1gCN8Z8js1HdFSUlpyJAhssZSAODn52dlZbV27VrqzrFjxwwMDBYuXAgAOjo6OKIiIyODPvfw2fcXIwFeJ/r06RMAPHjwIDY2VkVFhcPhUEMZegg5ADg5OWloaNy6dQsXlZOT07dvX0dHRypAh8/ny9lPKCQkpFevXs+fP79//z79pTNo0KB79+7hO6mpqXZ2dubm5vSMsn7PGBQUtGDBAldXV8b9jh07hoWFYS1qamqEQqGpqamamtqKFSsAoLa29s8//8QjQqrk2NhYHx8ftkGkisFW2dHRMTo6+saNGwCQn5/P+MUAlVFNTY09TBw8eDA1uExOTmYED+HZY0YWRjm4fGqA2LFjx8WLF+OG2L9/P16rpRcI0mDcP3v2LI/HMzU15fF4lPwfPnw4ffq0n5/f+vXrORyOLKvK0UuqOikpKceOHXN1da2trRUKhezmZjTTV8uWmpr67t27z6rJBv9Qi4rDS0pKGjFiBAD069evsLAwNDS0a9eu48aNmzx5MhWVKNXOVBUCgaBRo0a7du367bffJk+ezEi2ePFiPG+NpWrWrFnTpk0XL16MEKqpqdmxYwf7DtsDy8rKrl27Nnfu3IiIiOPHjzP+pVdHuZMsNSkYXdjFxWX58uV4AXHPnj1VVVUMyel5pTY9lYbttJ99sTC8QpYX4QuRSPTmzZu+fftK7R2UYNeuXautrd2/f39gYODFixflNIpU1Tp06PDhw4fnz5/Lkpni3bt33bt3NzAwYHcTOa3g6Oi4bNmyoUOH4ti4kJCQ1q1bx8TEmJub/8y/zfzP8S1XEglfQ1lZ2aRJkxYuXHj69Ong4OBRo0bl5ubiR6dOnTIxMRkyZMjixYtbtmz56NEjHJUcGBiIg40wEokExyZfunQpPT29U6dOdnZ2eBkLALZv315dXT1w4EAlJSVra2scYYAQ6t69e9++fa9cueLs7Gxra5uSkoLTr1ixAiF09+5dT0/PCxcurFmzBkcSZGRktGvXzt3dfcaMGfb29hMnTiwtLaUEwAOLNWvWCASCXr167du378aNGwsWLGAou3PnzhEjRoSGhi5cuPD9+/cIocWLFysqKt66devFixf6+vo+Pj5v3rxxd3dv2bIljlXH5Xfq1IkRG4QQEgqFw4YNa9u27aRJk/r37+/q6pqcnHz9+nUdHR0TExMXF5fU1FSE0O+//25pabl169bNmzfjKA0+n88wSFRUFACsWrUqJyfH2dnZxsYmPT1dqsorV67kcrnm5uajRo2qqal59+5d8+bNvby88vPzp0+fzuVyHz58WFxcbGhoOHPmzPT0dEpagUDg5+cXGBh45cqVBQsWVFZWlpSU9O3b19LS8t27dydPngSATZs20RWMjo42MjJau3bt/fv3GzduPGLEiMLCwjlz5mCLpaamWllZaWlptW/fPjw8nJ7x7t27TZs2HTFiRG5urnzfePLkia6u7pAhQw4fPqyqqortY21tbWxsbGdn16NHj5MnTyKE2FaVo1dFRQX+hhASEkKPFuLz+RYWFk5OTjiQ3MvLi8fjUU/ZzfTs2bOvk23s2LFaWlpCoZAqnF3Uw4cPjYyMBgwYkJ2djXfGCgoKqqmpycrK6tWr14EDBw4fPrxx40aqhCVLlkRGRiKEUlJSpk6dim++f//ew8PD1tb25cuXUl3o/fv3enp6rVq1at++/bBhw+Lj4+mmGzt2bPPmzYOCgnx9fX/55ZekpKTY2FgjIyN9ff1u3brhqCD2HYYHlpaWOjo6XrlyZe/evSEhIYx/6dXR3VKWmhhGF87Ozsa7GNjZ2cXGxrIlj4+PZ3uyVIOwnVbOi0VW52V7kZubW58+fQ4cODB//nxcLKMiHo83Y8YMDodz5swZhNCVK1d8fHxu3boVHBxMvWekNopU1RBC69evNzIywmPr5s2b4zA+qke4uLgsWLDg1KlTwcHB+H3O7iYIIXYrXL9+ncPh/PHHHwUFBebm5o6OjvHx8QEBAcHBwTExMTNnzqyoqECEnwMynPpJqa2tTUlJoX8AYKqqqmprawUCAd58uT6UlZXRo9dx2IH8LMXFxVLvCAQCObnEYnFNTQ0j6pb+lP66rAvFxcXUKJBNeXk5NhG9ChytjPn9998nTZpUUVHBEJthEDm1o3+qzOfzcWS3HPh8vkgkYt+vqalhxJvLhz7gkEpRURF7oPlF4N+oI4QqKyslEklubu6OHTtyc3NfvXr18OHDOXPmYBkYVmUXUhe9JBIJLo3P5zOaQ2ozfZ1sEomEPURgFCVfzrKyMkbz1dTUUNef7TgUDx48CA0NTU9PT0xMjI2NXbhwISMB/nSUSCRUf5FIJIx+x77D8ECJRFJWVka9PRj/MjLS9WKriZHahYuLi+l2Y0ted9hOK+vFItUr2F7k5uYWEhLCkFBqRZSC+KlU8eqoGp/P5/F4eIZM6lN2dqndRFYr0KUViUQlJSVy0hC+PyR26icFf91k36diquoPDvem4HA4OCBDDnp6elLvyN8XSkFBQU4AjYKCgo6Ojvx6KV69evX27dv79+8zfmFOhx3hq6CgQP2mEgAkEolIJGrUqBEjGcMgsmCrrKKiQg9AloqsBF8aMvXZnVHpmn4dlEg4smfbtm0KCgp6enpGRkafPn3Cv3sAllVlFSIfDoeDS2PbR2ozfZ1sb9++7du3r3w15cP2DbqCn+04FPPnz//999/NzMyaNWuG99RgJMD6cjgcSioOh8Pod+w7DA/kcDh0gRn/MjLS/5WVTGoXZsjAlrzusB1J1otFqlewvQgnY7+vZHksXq2W9bSOqsl/D0h9KrWbfPZFhKVlRI4Sfjgkdorwb+LNmzerVq3q0aOHkZHR15WQkZGRmJj48ePHhISEhpXtf5WpU6fm5uY6OTkNGzbszJkzEydO/A6V1rGZ6iibjY2NtbX1t5H0y1i1atXBgwc7d+48cuTIpKSkkSNH/miJ/k3U0Svi4+PLy8vv3r3L2EGKQPimcNC/agt/AoFAIBAIhJ8NMjtFIBAIBAKBUC/IcIpAIBAIBAKhXpDhFIFAIBAIBEK9IMMpAoFAIBAIhHpBhlMEAoFAIBAI9YIMpwgEAoFAIBDqBRlOEQgEAoFAINQLMpwiEAgEAoFAqBdkOEUgEAgEAoFQL8hwikAgEAgEAqFekOEUgUAgEAgEQr0gwykCgUAgEAiEekGGUwQCgUAgEAj1ggynCAQCgUAgEOoFGU4RCAQCgUAg1AsynCIQCAQCgUCoF2Q4RSAQCAQCgVAvyHCKQCAQCAQCoV6Q4RSBQCAQCARCvSDDKQKBQCAQCIR6QYZTBAKBQCAQCPWC+6MF+JFkZ2f/8ccfP1oKwr+VZcuWmZiY/GgpCAQCgfDj4SCEfrQMBAKBQCAQCP9iyGIfgUAgEAgEQr0gwykCgUAgEAiEekGGU19MVlbW69ev2fdramrwhVAo/L4SyUMikVCC/UCqqv664PGYj9h3pIIQVFd/Ze0CwVdmJBAIBAKhLvynQ9G/guvXr79+/bqysvLdu3deXl4AIJFIdu3a9fDhw19++QUhdOfOHWtr682bN/9oSQEAPn78OGjQoFWrVg0ZMuRHyZCeDqNGwZgxMGECTJ4M+vqwa9f/P921C1auhLy8zxSSlweDBsGMGTBhwhdUjRAcOgQ8HhgZQU0NFBTAyJHQvPlXKEEgEAgEgjzIcOrLUFBQEIvFCCEqhH/p0qUvXry4evWqoqIiAAwYMGD37t0/VMb/p1WrVubm5g1e7IEDB6ZMmVLHxC1aQPv2AACamuDiAklJ/3g6YgT8/vvnCzEyAiurLxUTZsyA7t1h8mQAgNpaUFCAwEAIDAR9/S8rJy0NUlPB0/OLBSAQCATCfwQynPoy+vTpY2NjU1paamdnBwCfPn1at25dfHw8HksBgI2NzejRowFAKBRGREQUFRV17drVyspKLBZHR0e3bds2MjJy9OjRcXFx+Hrs2LEcDufs2bNCoXDs2LHq6uplZWWPHz8uLS3t3r27trZ2VFSUra1tVFSUgYHBsGHD2CULBIKoqCgHB4fIyEhra+suXboAQG1tbWhoqEAgoFYeq6urqVrU1NTi4+PV1NSys7Orq6uHDRuG5b979252dna7du3atWsHAI8fP37w4EGXLl06d+5MWWDXrl2rVq1SUlLy9fWVSCR0SQAgJibG1NS0devWdKNxOP+wYXQ0vHsHo0aBvv4/HmVlwZUrYGICw4YBAIhEcO0aCATg6grGxgAACMH584AQDBsGXC4gBNeuQWoqDBsGZmZQWQk3b4K9Pdy/D+PGQVwcvH0Le/ZAcjLMmwdt2sDLl3DhAhw+DAEBUFYG4eEwaBCcOAE2NtC5M5w7BwoKMGYMthWcPQtCIYwdC5WVMHAguLiAjg44OMDjx5CRAW3agL39P5QqLoabN0FFBXr2BA0NAIA7dyAzE5o1g+7dAQCePAGJBGprITERxo6F9HS4dQuGDIGWLb/eGwkEAoHwk0Bip76YZs2a4bEUADx9+lQikdja2tITODs7SySSfv36derUadSoUX5+ftHR0S9evPDx8Tl16lROTk5cXBx1XVRUFBgYOGzYsLKyssGDBwPAvHnzevTo0bhx47dv375+/Xr06NEHDhwwNTVdsmTJ1q1b2SXn5uZOmzbtyJEjrVu3HjZsWH5+PgCMGjXKycmpf//+iYmJACASiei1lJeXr1q1au3atVpaWnv27Ll48SIArF69WllZ2cvLq3fv3qmpqVeuXMnMzBw3bpyXl9e9e/co7Xr06KGlpTVhwgQFBQWGJABw48aNly9fyrHe48dQWAhv34KrK4hE/38/IwMOHgQ/Pzh6FNasAYTAzw9cXcHSErp2/SvNrVtgYgL798PJkwAAv/8Otrbg5AQODlBeDufOwbhx8OABvH0LAHD7Nri5AQDMmgWHDsGQIWBmBnp6f0VxpaTA2LFw7hzY2IC3Nxw8CNbW8OefcOcOiEQQGAjDhkFZGQweDIaGYGMD7u7g6Ajbt8Pt2+DlBUOHQmXl/wtfUAALF4K3N2RkwIwZAABBQVBaCuPHw4UL8McfUFEBW7bA6tVQXg6vXoGPDxQWgrIyjB//hc5HIBAIhJ8SMjtVL3g8HgCI6OMCAAC4ffu2SCRq2rQpAEybNm3t2rW3b982MjIaPHiwjY0NAFDXEREReXl5ly9fVlNT09TUrK2tLSgoCAwMXL58uUgk0tLSMjAwGDt2bNu2bbOysg4ePGhra8suuWnTpn369HF0dHRwcHj8+LGenl5JSQneYbJTp04AEB0dTa9FQ0Ojbdu2TZs2dXV17d+//6NHjwYOHHj69Ong4GAASEhIMDY2njBhwqRJk0JDQwcOHJiRkeHq6vpZHXv27LlmzRr5FnN0hNGjYfhw0NaGBw/Axuav+7t2gaoqnDsH9vZQXg63b4OqKujrg74+xMb+lcbTE7p2hcGDIT4evL0hLAzwSqa7O6SlQf/+sGgRjB37V+KqKtDTg5ISEIuhaVPYsgV69IC8PGjU6C8xlJRgzBhQVYVWrcDeHhwcwMUF3r4FPh/y8uDyZVBTA01NqK39f+EHDQJ1dcDDxdzcv4oCgO3boWdPUFSEX3+FwkLg82HbNigpAQAIDAQLCwgKgnbtoLQU+vUDRUX480/o0QPs7WHZss95GIFAIBD+DZDhVL3A01Rv3rxxcnKi38/Pz5dIJPi6RYsWxcXF+JpaE6Su09LSLC0tJ0yYAACzZ88GgBMnTkyePNnW1jY8PFxLS4tKj0PdZZVMlSkSiZKTk9XU1Oj32bUwsqSnpysrK+M7pqamAJCamjp69GgVFZUJMsK/5UsiC7y6p6QEv/zyj5FKWhpMn/7XuhgA7Nnz15IZAJiZ/aMEJSUQCiEjAxo1+isyHf/NywOadcHFBQ4dgtmzIScHLl2C1FRo1w5OngR20BeVi8uF2lpISwNLy7/K/KepACHYtAlmz4ZGjeBv1QEA3r8HvBzK5ULTppCdDTU1fxXbrBmIRP//w0Z2dQQCgUD4H4As9tWLdu3a9e/ff/ny5dQdsVj84MEDJyenxMTEyspKAHj16lWPHj1klWBhYRESElJSUgIAcXFxRUVFL168uHDhwpw5c/bu3UtPmZiY6OnpWZeSzc3NY2NjcdSUWCwWi8XsWhhZmjdv/uHDB7yol5ycnJyc3KJFi127dgGAUCiMioqiUiopKQkEAgCQKklpaWld9omQSKC4GDp1otsBtm4FHN8fFgY2NnDmDBQUAABERgKfDwB/PcV/mzWD588hIQEAICMDXrxgVtG/P4hEcPs23L4NTk5w+jRYWMCvvwJtgCodCwsICflrbikuDoqKQEnpr60WFi8GR0cwNYXKyr/EKCwEiQRsbWHXrr/WLnH4V/Pmf02qvX0L9vago/NZkxAIBALhXwwZTtWXs2fPtmzZsm/fvtu3b9+2bdvWrVttbW3Nzc03b948e/bsiIiI9PT0ZcuWPX36NCcn5+zZs3w+n37t6enZpUsXS0vLHj16FBYWNm7ceMOGDdevX1dUVByD46IBdu/efe7cudevXwcHB7NLTklJSU9Pv3XrVlZW1suXL+/cuePq6url5dWtW7dFixbl5+ffu3fPzc2NXguXy338+HFCQkJ+fv6tW7eeP38uFAp37tzZv3//Tp06Xb58uW3bths2bFi3bp2Dg8P48ePd3d0pfVu2bKmgoLBgwQItLS2GJAAwefJkxigwIwMePYLYWCgpAWtreP0aLlyAbdtg3z7Q0oJz56CsDGJjYe5cyMgACwvo2xcsLcHNDQYOhLZtwd0dRCIoLYXnzyE6GgoL4eZNeP4cBAJYtw48PcHZGUJCwN4eQkOhsBCuX6c3DcTFwaZNEB0Np0/D48d/jc8A4OZNEAohJgbev4fUVAgNhdxcePoUHj8GJyfo0gUsLaFHDygshMaNwcMDdu6Ey5fB0hKWLYP168HICDZtAokE+vSBiAiYPRvKy6FVK+jf/6/ly9OnYfNmCA+HM2fg+HEoLYX79+HlSygogKgoePsWkpMhMhJ4PHjy5Ft6J4FAIBC+C+TMvoZBIpF8+vTJxMSEvpwnFourqqq0PjsfAlBeXq6urq6kpISL4vF46urqXC4XAMzNzcPCwoyNjXVoUxx1Kbm8vFxTU1MsFlOrePRapCIQCGprazU1NSmlysrK9PT0GMmEQqGCggIWjyEJn89XUVHhMH7L909KSoBV5F8UF4Oe3v//3K+iAtTUQLa8wOdDbe3/xzDJIisL1NSgcePPJKNTXg7q6v9fdVXVX4uPPB5oagKegFNWhpoaoJZVS0pAV/cfv1WUoymBQCAQ/pcgw6mfnWbNmoWFhf3yyy8/WhACgUAgEAjSIYt9PzUJCQn9+/d/+PAhr45HsRAIBAKBQPjukNkpAoFAIBAIhHpBZqe+mDt37syYMeOzGywRCAQCgUD4j0CGU19Mo0aNdu/enZCQQBbgCAQCgUAgABlOfQWOjo4A0Lp1a+oXcGz4fL5YLP6OQv1IEEK1svej/GntUJ/RMEKourq6AYXBVNG3+/zJaNgvDyKRCO9e9hXIsdL3MaBEIqmpqfkOFbH5UgWFQiHea5faDa68vLw+AnyH75AIQYP3LWqjOD4fpO6Lx7ZKXcSoroZvFCxDCSxLpK9uB7qmYjFIdSih8Fvp9b8NGU59Dffv3/f39weAYcOGTZ48OTg42NDQcNasWbNnz3Zycnr8+LGhoWFhYeGPFvN7cOzYsU2bNp0/fz4gIIARh1dZWbl+/XovLy/8771799q2bcvYY/3QoUOGhobHs8U9AAAsqUlEQVRr1qyRMyBrcHg83ogRI5Z97QkvOTk5HTt2DA0NbUCRBALBxIkT58+f34BlNhTl5eV+fn4zZ85sqAKTkpJat279/PnzL80oFosDAwO9vb3Zj76bAdPT021tbW/duvWtK2LwpQrevXt38ODB69at27Fjx8iRI/v27QsAtbW15ubm9IFsaWnpb7/9ZmhoeOTIEQBITk7u0aOHnZ3d06dP2WWuX7++O3VwwbchJwc6doQG7VsAAL17/zU++PVX+PCB+bS2FszNgT68r4sYd++Cvr704Uj9oQSm+PgROnWCc+egvBz8/ODruiND09On4ejRfySQSGDqVDA3B0NDiI7+mir+y5Dh1BeTmJgoFAqVlZXfv3/v5OR08ODBpUuXFhQU+Pv7b9++3dvbu2PHjnImrv5dCASCM2fOyHqKEFqyZElAQMDo0aNTU1M//PNFxeVy27dvX1paiv91dXVt167diRMn0tPTqTTh4eEFBQWTJk2SsxtWg6OpqdmVOldZNmfPnmVMQuA7xsbGlpaWDSVMSkrKgwcPVFRUnJ2df7bfhWB9tbW13d3dG1A2KysrfKCkrBplZVRUVPT09JTQz/f57gZs0aKFhYXFt66FzlcoGBMTM3LkyIMHD/7+++9z5sw5ePAgfiMpKSkVFBSoqKjA36bW1dXt379/eXn5xIkTAaBt27aOjo7NmjVzcHBgF9u7d+9vPdlsbAzsvpWSAg8eAAAIBCD7bSSTxERo1w4UFEAshuTk/z8nlEJJCQoKQEUFAODsWaipkS4Gg27d4O8d/RoYSmA6rVpBu3YAANra4O7+lbNHdE0B4OJFGDr0HwmuXIGFCyEzE2bPhl9//Zoq/suQM/u+mNjY2OLi4rt3706fPn3WrFmMp7/+7YOlpaVXrlzp3Llz+/btASA9PT00NNTCwgJ/TcSUlZXFxMRYW1tfv37d09PT1tYWAN6+ffvx40cNDQ0PD4/a2tqIiAh7e/vw8HBzc/PevXszihKJRFFRUTY2NpGRkZMnT8Zba1ZUVNy+fdvKyurFixcjRox4+PDho0ePPDw87O3tpdaYm5t779696upqLy+vRo0aZWVlpaamikQiVVXVrVu38ng8PT29Xr16PXnyJCMjw8zMrGPHjlh+DoejpaV19OhRb2/vysrK1q1b002hpqam/M/3TZs2bbp3775169atW7cCwM2bN3v27Hn58mUsNkaqyjk5OW/fvi0qKhoxYoRYLGYn4PF4Z86cUVBQGDt2rJKS0tOnT5WVlZ8+ferp6SkQCN6+fcvhcAYMGMBorPDw8MzMTF9f38zMzMePH48ePfrly5evX7/29vZ+8eLF5MmTN27cOHTo0CZNmgDAgwcPqDsAIJFITp8+raGhMXDgQA6HgxC6cuVKVlaWj4+PoaEhVQWPx3v+/PnHjx8HDRqkoaFx9erV5s2bW1tbX7t2zdTUtHXr1gMHDuzdu3ejv7civXv3bmpq6siRI9XV1QHgxYsXb968UVNTGzJkCIfDoeulrq7+5MmTsrKyvn37UtnlND0AFBQU3L59W0NDo1evXioqKnSjcbncuLi4Ro0apaamcrncAQMGxMXFUfrifVlFItG5c+cUFBT69OmjqKgYHh7es2dPfX19XHJUVFS3bt2wCl26dGnevDm7mQQCQWhoKEKI+lSmezvdwgYGBgx7vnz5MjExsaKigt6CeXl5cgwotVEQQgxNCwsLGcKbmZnduHGjQ4cOt27datSo0eDBgy9evFhaWurn56egoAAANTU1R48eVVNTGzFiBIfDkeN+UpuJ3bIfPnzIyMjQ1tZ+/fr1yJEjqTM3v0JBAJg/f/6sWbMMDAzwv5qamuvXr8edKzIysnv37omJiZSpuVwuffNhLpeL++OtW7eqqqoGDRp07do1Pp9PTQomJibevXt34MCBrVq1onI9evRIQ0Pj5cuXfD5/3LhxXC6X7vm6urpY5adPnzZt2tTGxsbQ0FBZWVmq8AAgkcDp06ChAQMHQn4+DBwIvXuDhgasWgU8HujpQadOEBMD1tZw/Tp4eoKtLQiFEBcHBQXQsSO0bAnv30NBAbi4AABcuABY9pgY6NYNAEAohEuXgM8HR0cwNAQdHYiMhO7dITERJk+GjRv/GmTQxSgshKiov7LfvQtdugB+2+XkwI0b0L49ODv/491y+zbk54ODA7Rpg5sb3rwBNTUYMgQ4HHj0CJSUoKwMPnyACRPg6VN49AjGj/9r119K4Ldv4eNH0NAADw8A+P8tgul7BT98CI8egYcH2NtDcTHcugVdu0JoKAwdCk2bgkQCjx9DejrY20PbtlBb+5emGhrA40FFBRgbQ0kJPHkCZWXQty906QJNmwIA+PpCSMhfVeTmwr17UF0NXl7QqBFkZUFqKohEoK4OXbvC69fw6hWYmoKrK/zXQYR6g79Pv3r1irpjbGy8devWO3fu6OvrV1VVpaamrly5ksfjubq6Hj58mEq2f/9+HR2do0ePHjx4UFtbOzMzMyEhYejQoQihHj16vHz58tmzZxoaGitXrgwNDTUzM7tw4QKjqCdPnmhqam7YsGHx4sWlpaW42H379uno6Bw/fvyPP/44e/bstWvX8vLy9PX1k5KS2DVmZmYOGjRIJBI9e/bMxsamqKho0qRJTk5OBw4cOHbs2JYtW+bNm4cQevLkycaNG0Ui0apVq+i6P336VE9Pr0uXLtnZ2WzL3Llzx83Njfo3KCgoMjJSQ0OjrKwMITRv3rzMzEwAKCwspNKwVRYIBK1bt5ZIJCtXrtyxYwc7gVAonDNnTkVFxcKFC8eOHfvp0ydHR8exY8du2rQpNjZ2/PjxCKE//viDLtiWLVu6dOly+vTpMWPGuLm5icViDQ0NbEBDQ8O0tDSEkJaWVmVlJT0XdWf06NETJ0588OBBx44do6OjsWqZmZnh4eGtWrUSCoVUln79+r148eLevXvDhg1DCK1fv3727NkIob17944bNw4hNGjQoLCwMITQgQMHnJ2db968OWXKlKCgIIRQaGhocHAwQmjnzp1jxoyh6/Xo0aPRo0eLxeJz5869efOGqk5O0+fm5vr7+0skkuDg4IULFzKMVlpa2rt37zFjxsTGxjo4ONy9e5eub0hICJb25MmTXbt2xXUtXLiQbpw+ffpcvnwZIeTj43PkyBF2MyGEhg4dmp+fn5eX16hRo4cPHzK8nV4jw563bt1asmQJrrRXr170euUYUGqjSNWUIXxmZqa5uXlQUFBsbKylpeUff/zx5MkTd3f3M2fO4Bp9fX0vXLjg4OCwdOlSOe4nq5kYLSsSiRYvXtyxY8cbN25MmjSJ4atfqmBNTY2CgsL169fxv1VVVffu3bt3715iYmJcXJyKikpubi7d1Hfu3FFRUQn7mxEjRgwaNAgh9OjRIzs7O4RQcnKymZkZQuj58+dNmjQ5ePDgunXr9PX1qW6bk5Pj4OAwatSoa9eueXp6/vrrr2zPf/v27ciRIyUSSdeuXadPn56Xlyery4wejSZORA8eoI4dUXQ0tgAKC0MIoS1b0Lx5CCG0fz/S0UFHj6KDB5G2NsrMRBs3oidP0KdP6OBBhBA6dw6tWPFXgV27otpahBDy90dPnyKE0Jgx6NUrFBWFDA3RjRsoLg6pqKDcXIQQ0tJCuNOzxejTB12+jBBCPj7oyJG/Eq9Zg06cQI0bo5s3/7/Jli5Fz56hsjKkq4tKS1FoKAoORgihnTvRmDGorAwNH46GD0dRUWj4cDRyJLp3D82bh/z9/yFwQgIaOhQhhHr0QC9fIoTQpEl/1RsSgsaNQwihs2fRtWsoLw/p66OkJBQRgbS00IULaM8e5O6OEEIbNqBt2xCfj5o3RxLJPzQ9cwZt2vSXpmIxOncO0TwUXbnyl8yZmWjQICQSoWfPkI0NKipCkyYhJyd04AA6dgxFRaEdOxBCyNkZRUSg/zhkdupb4ePjY2RkZG1tnZiYeOnSJW1t7fPnz3fp0oV+/HDPnj319PTGjx8PACdOnAgNDR07duyqVas+fvwoFovT0tIGDRqkr68/YcIEU1PT58+fnz59+uHDh/SiHBwcmjRpMnToUHNzc6rYfv36rVixYuzYsQDg5uY2adKkiIiIwYMHp6WlsWvMyclxdnZWVFRs3769mZlZeHi4h4eHQCCYPHkyAOBpJACora3duXOnh4cHY0JOKBTOmDHj6tWrM2bMuHTpkoLCZ5aPe/fu3aJFi/3793t7e7du3Zp9HE379u0ZKnt5eYWEhJSXlxcVFRUXF8+cOZORQFVVtaCg4OLFiwYGBrm5uSYmJnZ2dl27dvXz8+Pz+V5eXmfPnp07dy6jIicnp5EjR/bq1UtfXz8tLU3l7xlwDXyazOfo1atX165d+/Tpk5CQ0Llz56ioKAsLC4RQu3bt8vLymjVrhpP98ccfFhYWly5d+vjxIwDgOSdZtdjY2PTo0UNBQQFvw7Fu3botW7YAgL+/f1BQ0Jo1ayi9AKCoqCgwMHD58uWINu8vp+ljY2P79OnD4XCWLFlSWVl548YNutF0dHQsLS0tLCxcXV09PT0TEhLc3NzYEvr4+AQHB7969UpRUdHJyYn+iKEaux0NDAyqq6vxVF+7du0AwNLSku7t+CYAVFZWMuy5cuXKdevWAUDPnj0TExNlNQrdgOxCcKNI1ZQhfLNmzUxMTPr27evi4uLk5GRmZubg4NCjR4/k5GScbMSIEQMHDlRQUJg1a1bnzp1luZ+sZmK0bHZ2dqdOnd69e9ezZ0+JRLJ9+/b6KMjn8yUSCeXP6urq5eXlAwYM+Pjxo729PZ5NZMDhcKgzrFRUVPh8PrtBMSYmJlivkydPXr16FV/jCaeePXv279+/UaNGw4YN27lzJ8PzHz16hCvq3bu3pqamurq6rC4DAL16Qdeu0KcPJCSAp6cUO/TsCXp6MH48AMCJExAaCrW1sHgxHD8Ow4cDwF9/AeDtW7CwAC4XJBJITIQOHQAA7t2D338HDw8QiaBnTwAAaVZhivG3PYDed2fOhEaN4NEjOHIE8Hn01dUQHg4rVgAAJCaCjg6sWwdbtgAA+PtDUBCsWQNWVqCkBL16QW4u3L791yzakiX/ENjSElatgo8fQSyGtDT4u3P8g507YdIkiIiAwYMhLQ26dAEuF7y8QCAAHGU3dChoacGrV8DjQWUldOny/5pevAh//gkAUFQEgYGwfPn/LyCKRHDjxl8y790Lzs6gqAjt24OZGYSHg4cHCAQweTIAgIsLXL0KAHDp0udPl/+fhwynvi1KSkpCoTAjI2Pu3LnOjOngf2Jvby+RSBQVFY8dOzZmzBhjY2NGjIi9vX1iYqLUouhz9Yw76enpvr6+XC4Xx4DT45Zwjfn5+VSkV4sWLUpKSho3bswu0MnJad26dT179ly4cOGiRYuo+9OmTXv+/PmCBQtcXFzu3r3rgWel5TJv3rzff/+dx+MtWLCgrKxMvk3wZ+e9e/eKi4ttbW1fvXrFTpCRkWFjY8MIcscqqKqqRkdH+/j4nDlz5syZM9RnDADgkZyenl6rVq2+OhBeWVlZIBBkZWXp6OhgAXAMCkVRUdHevXt79erFaE05YJ8BgPz8fLwoxuVyTUxMSkpKgNayp0+fHjdunKOjY0REBP0DT1bTHzlyBMcRq6qqqqqqSjUaVYJIJJIqm6Ki4ty5czdt2tS+ffvp06fXUSPcTMnJyaqqqozSpHo7257svHLABpTTKHQBZGlKT4MvuFwuFdeFnadjx461tbVy3A9kNJPUlq27SPIV1NHRMTY2fv36NRU2bm5urqCg0LJlS1kFKigouOCPdICIiAg5v/6jvv9g3dkJ8FsFWJ7fs2fPvXv3Pn/+vKioaPTo0XVpHWVlqMuvP+3tQSKBBQugvBxsbODMmb9GSJiLFwH/GObBA6ACJqdNgwMHYNAg8PP7fPnyxcD26NQJwsL+upOR8f/BSWZmAAD5+YAXt7lcMDEBWmsD9aLlcgGbkxJYURGOHYMxY8DYGGS9PNLTwdcXuFzA3ke9TRUVATsRQrB5M8ydCyoq/yikpgby8qBFCwCA06dh3DhwdISIiL9GikePwuLFf0WG5ecDFQncogWUlEDjxv8vdmrqX1maNJFpov8OJBS9AcDfO6V+XuJHFhYW1DdOWb8Ie/XqlYeHx7Fjx4RCoZ2dXUVFBfpntOGLFy88PT3rUhQdU1PTgwcPAkBlZWVMTAy7RmdnZ+r+mzdvcAQJhZKSEv4dUGxsrI+Pz+vXr3ft2kW97vl8fl5enkQi0dLSGjhwYEZGBgAUFBQgGXGS+FvvmDFjamtrq6urNTU15ZiOUvnt27enTp3q37+/HJscPXoUR9XggA8qQVZWlpaW1qtXryoqKh4/fsyuoqqqSkVFxcLCQk1NraqqSiKRVFRUYHko3dnWoMDyNGvWLCEh4cWLFwCQlJSUkpKCn0okkokTJ06aNEkgEOCUuBYAKCsrk1ULpWPXrl3v3r2L7cbj8aysrOjJXr9+fe3aNTx1J9V6jKa3srLavXu3RCKRSCRhYWFyjCZHXwDw8/O7ceOGQCBgBMaxVaPAzWRubh4bG4udRywWSyQStrfjGtn2NDc3v337NpXx/9q78/ioynuP498kBCFSBARLAFGBAAIlVKwKBF+EeFnUQBFFCpoihRaXC724XESpXoEXjdVcQKAKLli5KsgmUlkiW8AADRApsihLQoAECCSB7MvkuX+ccTKZTEbgseq9ft5/+JqcmTnnd85zmPl65jnPE7jIwI3iV4DiAzh48ODAgQMDH0m/zRS4ZX1cwQ6+9NJLCQkJPv3MvN/rvVpjjPcue/4MfEyOHj16l78LR3v37o2Jial55jdq1Mjp3Dlz5sx27dpdSut4/q2HhroDjeeBt337FB2tzz/XjBlaulR//rMklZa6s8W6derXT5I++kieW0K7dVNsrCIiFB9f67ZqllG/vvs+vrw833xz4IDuvlv5+SoqUuvW+vJL7dolSbt26dQp9eypLVskqaREBQUK2NpVBb/7rsrK1LWrLl6steN5q1Z6801Jys9X9U93t2efdV+R8ozp4Px37VoNGOB+zZdfavVqDR3q7iz18cfq00etWqmiQrt2qVevqjXv36/q3w9q316vvy5J589r27ZA+/VTwNUpW6Wlpc49xu++++7kyZOvvfba1NTUM2fOfPLJJ3369Dl48GBiYuKECRNiYmI6duzYtm1b5xvOIzs7e86cOaGhobGxsV26dDlx4sS0adPq168fFha2YMGCmJgYSbNnz77llltyc3MnTZqUm5vrvapdu3ZlZWV9+OGHEydO9Hy9ffLJJ6dOndqwYUNMTEx8fPyQIUPeeuutyMjI+fPnZ2Rk+Gzx5ptv3rp1a0JCQnh4+AMPPNCxY8dZs2alpKQcOnSoY8eOPXr0SEhImDt3bv369Tds2NCvX7+xY8d6eo7Xq1fv8ccff+aZZ2JiYtLT0ydNmiQpOjp69uzZMTExOTk5y5YtO3r0aEpKyq9+9at169Z98MEH3bt3HzFixIQJE0aOHFlUVOR8x8ydO/f555/3vrnPe5fz8vIyMzPHjBkTHh6+du3aAwcO+LwgNDS0W7duERERv/jFL5577rnc3NzU1NSCgoJ77rmntLR00qRJEyZM6N69++233+5Zf+fOnVetWuWUt2jRopCQkN/+9rf3339/r169WrVqtXHjxjZt2kRHRz/xxBNTpkzp1KmT8y5nybhx4/bu3Vu3bt3o6OgtW7aEhIQEBwdPnTq1d+/ekZGRw4YN8/weGhwc3K5duwcffPDXv/71iRMnPv744wEDBsyYMeOhhx5q0qTJ0aNHz549Gx0dnZCQEBISsnHjxq+++iorK2vVqlVHjhw5fvx4fHz8mDFj2rZte/z48YULF2ZnZ3v2q1mzZvHx8cXFxQ0bNvTuYh+g6bt27dq/f/927dp16dLljTfeaN68ufdBKysr27VrV05OztChQ7dt29akSZOSkhJnfydOnLh+/fp9+/ZlZGS0bt26QYMGcXFxzpnpbfjw4U899VRSUlJlZeWOHTvi4uJ8mqlu3br9+/fv27dvVFRUfn7+hg0bbr31Vp+z3XPMfY7nyy+/7Nw9WlJScubMmcOHD3tur6vtAObk5PhtlNzc3Jp76lN8z549jxw5kpSU1LZt271795aUlPTv3z85Odnlcl24cOG2225bunRpeXn5vn37Xn311SZNmtR2+tXWTD4tGxoa+tlnnx0+fPjUqVOrV68+cuRIZmZmixYtrmwHJf3ud79r2LDhkCFD+vXr17x58w0bNjgDuyQlJZ0+fXrFihWPPvqoc6jHjx+/fPnykpKSBQsWjB079siRI1u3bnX+27t37xYtWgwaNKhnz54lJSV79uxxSnrvvfdKS0vHjRvnc+vJ0qVLQ0NDk5OTExISap75jRs3fuGFF9q1a9eoUaOhQ4fGxcX5LT4rS3v3qm5dRUdryxaFhKiwUNHRSkhQvXrq0UMJCZo7V/fco+xszZmj0FDFxqpLFz3xhDIydPXV7h+h5s3T7t168UW1aqWrrpIx2rlTs2a5S505U+fOqUkTRUTo2WeVlqbTp7VihR59VNHReuIJjRvnp4zhw/XUU0pKUmWlduxQXJx69tTs2YqIUMOGiovTE0+ocWNNm6b//m/FxOjmmxUXp8ceU3y8xoxR27Y6flwLF6qoSDt36uqrdfasNm3Snj06cULr1ysjQ5s3uwuWdNNNmjZN9esrLEwLFigiQrt3y+VSv35av1779ikjQ/HxGjJEb72lyEjNn69ly5Sfrz17lJGhsjLt2KEOHfTcc/rqK7VurVdeUf/+7j3dtk1/+pPnbFRxsRo21L33atkyjRrl/lmzqEhffqm4OG3dqoQEhYfrgQfUsaNmzVJKig4dUseOevVVxcZq4UL16KE5c/RT9z320/qpO3fuXGVlpfeStLS0Nm3aFBUVFRUVeRYWFBQYYyorKwsLC40xrVu3Tk9Pd/puB1hVABUVFTk5OQG2aIzJz893/j+yJqcMl8tVUVHhU4YjNzc3IyPDU4/Pmq9AzV0uKSkpLy936vT7AqcM5zXenIsxnt33cf78ee8/nWsknl6xlZWVPvtSc4m3wsJCp+183uIs9PRqd67Mefe9dY5wbXJycvy2tcvlysvLc7lcAd7r3fQOn132e9C8i/e7v9OnT/f7+oKCApfL5dk1v83k1Ow52XzOdu8t+hzPioqKCxcueB83jwAH0G+jXErxgZWXl1/K6WcCNlNtLVvTFe/g+fPnMzMz/T4V+GT2cC7Weu9aTk5Ozd2Ji4t77733vM8unzN/8eLF+/btO3bs2J49e1566SXn6F1663gOgPMgLc20aWOKioxnD1wuU1xc7c+SEnPhgnG6y1dUmPR091MXLpjXXjNnzphDh8zmzWbevGobqqw0AY5KQYFxuYz3OVJQYIqL3Y9LS01FhftxcbHxabScHPOtre0p2LNyp6QAnxAVFaaWjzc354OnuLiqNmPMkSNVj10uk5dnAn6QmPx8U8v3g3G5zDc3Qf3UcXXq+1OzE2h5eXlJSYnnpmiH08EiKCjI6QpaXl5eXl5+zTXXBF5VACEhIc6NyrVtUVKAgbKcMpw+5j5lOBo1auTpxyqp5sovV81d9vR5cur0e0y8a/Bwunp4dt9HE+e+5G8496J7LpIFBQX57EvNJd48XXd93uI0qOcIe25ED/xGj9qKDw4O9tsc3ryb3uGzy34PmkfN/X3llVcuXrz4C7/dYr85dT23I/htJudPz5VUn7Pde4s+hyUkJKRhLZ1dAxzAwMc2QPGB1alT51JOPwVsptpatqYr3kGf5vYW+GT2cP5ReJ+xfst2Pli8N+dz5k+fPv3JJ5/s3bt3bm5uixYtnGNy6a3jeaHzoLxcJSXyLj84WN6d64KDddVVVX2YQkJ0ww3ux4mJWrlSPXsqLExZWbrttmobCgpSgKPi9BPyPke8u6V7//pds6ffpbS2zwnurDwoSAGOU0jIt6zZ+eDxqcfrziUFB+vbPkgUYCDF4GAF/BT5CaHv1A9px44dsbGx69atq+0FO3fuHDRo0KZNm5xeR9/DFn9w37rL3/kxwaW79tprW7Ro8YDnvqna0Uw/HRkZGS1btszOzs7KyqrtNcuWLTt9+vS8efMKCgpGjx5tucUdOxQbqyv7GBsyRH/4gxYt0urVuvNO+RuvFLgSQeZHNhDzj58zCk7Xrl1rG9kZAAD8pHB16rKtX7++ZcuW48eP/6ELAQAAPwrEqct27733tm7duvc3I+qXlurbhom5bKWlcn4hqaxUfr6fF5SVqebMZpdSSXFxrUOYWPIu9dy5SxowxseV1VZRoR/k1yS/U596Gg4A8JNCnLoSa9euXbx4scvl2r1bzZvr5MnveP1PP61//EOSPv7YPTStjzlz9MIL1ZZcSiVJSbr22mqDyH2HPKX+139p+3b16nV5k3ReWW2pqbrxRvcQL9+n+fMVGelnuafhAAA/KcSpKzF8+PD77rvv1KlT3bv7GVl/5Uo5E8mUlelvf7vslRuj5GT3tANLlshvr9+JE6sGoFuwQJL8VuLjzjsD3bRiySk1LU2ff67YWKWkqMb8Md99bc68B9+/fv1Uc0Ro74b7V0hL02ef/atWDgCwwUAJl+3111+PiIho1apV62++yS9e1Pz56tRJUVHavl1xcZo6VUOG6OmndeaMmjRR795KTFT37lq1Sj16uG/N3bNH6em67jpFRenoUWVkuKcNT07W7bcrOFglJUpLcw+hm5iokyfVpo3atlV4uE6d0pEj6ttXc+dq2jSFhuqhh3wr2b9fKSkaNkxHjig1VQMHuucBOHtWS5aofXvfybAOHtTevWrWTH37KihIZ89qyxbl52vQIDVtqrw8/f3vGjRIixapc2fdfruWLFFwsEaOlOQutXFjzZqlzEwtXKhBg1SvnnbvVnq6+vWTM2G8zyZOnNDKlWrZUvfd567Bp7ayMq1Zo3Pn1LOn+zjUXOKENme+9+uvV1SUEhPVsaPWrtXDDysoSIsXq6xMDz+ssDDl5SklRbm56ttXTZuqqKjas0VF1Qo+eVJff63QUJWVKSamWvGOY8f06acaONB917HTcEFB2r5d9evr1CkVFem++9wTMmzapIwMXX+9+vb13zTl5VqxQoWF6tZN4eFq3lynT2v/fmVl6cEHlZOj2FhFRalRI91663d8SgMAbP3QA1/931NcXOw9/F3r1iY+3iQlmfBw90hx113nnrL7r381v/+9Mca89ZYJCzNvvmnef980amRSUszevSYhwbhcxpk8fvly85//6V7h+PFm82ZjjFmxwrz4ojHG/O1vJj7eFBSYn//cTJ1qMjPN6NFmxAhjjDl40LRv77+SykrTsKE5ccIYY7p2NVu3GmNMkybmxRfN4sWmZUvzP/9TtVMbN5q//MUYYwYPNu+8Y06eNAMGmLIy8/XXpn17k5VlUlJMUJB5802zZYtp1szMmWN27TJdu5qNG6uVmpho+vZ1r3PwYLN9uzlwwERF+dlEerr5059MYaGJjTXOqJA+tblcJibGZGaawkLTo4dZv97PEmNMz55m61azaZN5801TWWl27zYNG5rp082UKSY93fz7v5u8PPPnP5u77jLGmEceMS6X2bDBbNliyst9n/UuuKjIjB1rbrnFvP22mTfPt/i0NNO4sfnwQ/PRR+aGG6o1XG6uuftuM2yYSUoy0dFm8WJjjHn2WbNsmTHGPPqoefFF/03zyCNm506ze7e56iqzYoUpLzc33GAqKsy8eeb5540xZtgw88EHl3euAgC+H1ydumw1p2IdNkw33qg77tDOnVWDxXnr108NGrin21y5Uh9+qOHD9de/qkcP/fGPkjRkiIYMkSRjtG2buxPSkiV67jlJ2rxZXbvq6qvVp4+6dlV4uKKjtWaNnw35VOKp1HsQtsceU7NmOnxY8+drxAj3wilT9NFHkvTOOwoN1YwZuuMOhYYqIkI9e2rBAk2ZotBQjRypevXUpo0iI9W9u6KidOCAoqOrSvU2ZYo6ddKmTXLm4/LZxEsvqV49LVmiyEh5Zlz1ru2661RRofBwSRo3TjNmKCjId4kz1+miRRowwH14b7lFzZtr8GB17qw1a9wzKtSvrwYNVF6us2fdc6dXVCgx0fdZ74Lr11ffvsrJkTM9a1RUteLPndPPfqYHH5SkP/xBZ8+qWTN3wwUHq2NHhYerd2/dc4927tSgQZo1y90tbNIkRURo8mQ/TbNliyZMUGSkGjdW376qU0cffKCiIp0+rYDTzQEAfnj0nfrOOL8Kfatf/lLG6NZb9fLLGjRI06dXe3bHDt12m4KDVVqqo0fVubMkxcVp9Wrt36+wMN8ZKK+gEs8U6N69fw4fdo/A27ixGjSomgJd0k03ubuCefjMgu5dqrecHM2erW7d3Pfr+WwiLU19+mjUKE2dWtUPzLu2M2eqbvS78UadP+9niaO4WK+9VlWwp8K0NHXooFGjNH68VqxQaKgWLdKxY+rSRadO+XnWp2DvPfUp3ludOu7psZyG8zlQFRU6f17Fxe5VXX+9Kir83xX4+ONasEC7d2vwYHc3uO3btX69IiP/VTdjAgC+K8Sp74D3TN36tvnPU1P1b/+mpCQNHqxDh7R0qXJzVVam3FxJWrJEw4ZJ0rp16t/f/ZaWLTV2rEJC9Pbb7tkAapv/3KcSzxToubl+pkC/915VVio7W5I6ddJrr0lSYaESE9W7tzZtcr/yn//07WXlw7tUY9xbr6xUXJweeUQVFe4lPpuIiNDMme6nPvnET2133KEvvnAPvrBvn2Ji/CxxjB2r5s01ebJvYREReu8992Wh5GSdO6e9e7V0qSZM0Ouv+z579qxvwd58ivc+yM4DT8PV1LKlbrhBSUnuXYuMVKNGfpqmSxfdf79+/nP3DO0HD2rBAg0dqoIC9yb8nk4AgB8D4pSV1FRlZWnVKh0/ri++0IYNcrkUHa2JE5Waqttv1+bNSkiQMbp4UTNn6p131KGDBgxQeromT9ahQxo5Uo0ba/58jR4tY7R1q+68U6r+9bxypSZN0qOPatgwffqpcnO1Zo2++ELHjummmxQcrKef1saNfioZPVoPPaQJE9S0qfvrvFcvvfaali/XhQt68kl3T2pJCQmaN09du+qxxxQVpYcf1s03a8YMLVumbt0UG6vPPlNZmTZv1tdf6+hRrVqlrCzt3q2UFL3/vrvUixe1bJn271dqqoKD1b69RozQmjWqqNA77/hu4o9/1PHjiojQwIHq0MFPbW3bKiFB48drzRqlp+uFF/wsOXBAaWnaulXTp2vWLE2apC1blJmpxYtVUqK77lKPHurQQTExys5W06b6y1/06acKCdHIkb7PXnddtYLfeEOJidqzR/v2+Tk+n36qrCzt2qXkZGVna/36qoZzerv/4x86c0YbNig1VXl5+uADJSTo73/Xhx+6b/as2TSzZuk//kOjRmnMGB04oKZNlZOjUaOUmanPP9eOHYqO1pw5WrHiezy/AQCXhklm/iWKityTVjoPTp5U9+7KyFBFhfs3I+eCRH5+1dWmsjLVqaMTJ3TjjZJ09GjVLJUzZ2rYMBUVKTdXS5dW/TTmKCtTcLDq1NILLj9fP/uZysv1zcS+Ki6WMVVzahYXu0coMEZ5edVm0ywq8p1Y1C/vUn0UFKhBAxUWKixMQUF+NnH+vJo0qRpSwac2SS6XCgurjQFRc0lgFy4oLMy9+5WVKihQWFjV4fJ+tmbB3moW712Sp+ECyMmR94y03k2Tn6+339aIEcrJUXa2kpP1zDPuX2zr1nW/UlJhYbUpVwEAPxLEqe/DsWP65S+rOlxflvPn1amT3n9fbdro4EFduKDf/Oa7rg8/tOXLNXOmXn1V11yjf/5TTZuqT58fuiYAwCUjTn0fFi3S1q26+24NHnwlb09Odt/H16+fvpnbBv+vGKPly5WcrGbN9MADtV7tAwD8OBGnAAAArNAVHQAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwApxCgAAwMr/AgFFOpAV8cRpAAAAAElFTkSuQmCC\n"
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Generate transcription\n",
        "\n",
        "Next, we let the model autoregressively generate the text appearning in the PDF. This is a lot faster on GPU than on CPU.\n",
        "\n",
        "The authors did define some custom `StoppingCriteria`(which determine when the model should stop generating), so we're going to use them here as well."
      ],
      "metadata": {
        "id": "2l2SrQkyNE50"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# prepare image for the model\n",
        "pixel_values = processor(images=image, return_tensors=\"pt\").pixel_values\n",
        "print(pixel_values.shape)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Cankpzy6NGF7",
        "outputId": "11addba6-552f-4fc4-9582-1f46e50f9ee0"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "torch.Size([1, 3, 896, 672])\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from transformers import StoppingCriteria, StoppingCriteriaList\n",
        "from collections import defaultdict\n",
        "\n",
        "class RunningVarTorch:\n",
        "    def __init__(self, L=15, norm=False):\n",
        "        self.values = None\n",
        "        self.L = L\n",
        "        self.norm = norm\n",
        "\n",
        "    def push(self, x: torch.Tensor):\n",
        "        assert x.dim() == 1\n",
        "        if self.values is None:\n",
        "            self.values = x[:, None]\n",
        "        elif self.values.shape[1] < self.L:\n",
        "            self.values = torch.cat((self.values, x[:, None]), 1)\n",
        "        else:\n",
        "            self.values = torch.cat((self.values[:, 1:], x[:, None]), 1)\n",
        "\n",
        "    def variance(self):\n",
        "        if self.values is None:\n",
        "            return\n",
        "        if self.norm:\n",
        "            return torch.var(self.values, 1) / self.values.shape[1]\n",
        "        else:\n",
        "            return torch.var(self.values, 1)\n",
        "\n",
        "\n",
        "class StoppingCriteriaScores(StoppingCriteria):\n",
        "    def __init__(self, threshold: float = 0.015, window_size: int = 200):\n",
        "        super().__init__()\n",
        "        self.threshold = threshold\n",
        "        self.vars = RunningVarTorch(norm=True)\n",
        "        self.varvars = RunningVarTorch(L=window_size)\n",
        "        self.stop_inds = defaultdict(int)\n",
        "        self.stopped = defaultdict(bool)\n",
        "        self.size = 0\n",
        "        self.window_size = window_size\n",
        "\n",
        "    @torch.no_grad()\n",
        "    def __call__(self, input_ids: torch.LongTensor, scores: torch.FloatTensor):\n",
        "        last_scores = scores[-1]\n",
        "        self.vars.push(last_scores.max(1)[0].float().cpu())\n",
        "        self.varvars.push(self.vars.variance())\n",
        "        self.size += 1\n",
        "        if self.size < self.window_size:\n",
        "            return False\n",
        "\n",
        "        varvar = self.varvars.variance()\n",
        "        for b in range(len(last_scores)):\n",
        "            if varvar[b] < self.threshold:\n",
        "                if self.stop_inds[b] > 0 and not self.stopped[b]:\n",
        "                    self.stopped[b] = self.stop_inds[b] >= self.size\n",
        "                else:\n",
        "                    self.stop_inds[b] = int(\n",
        "                        min(max(self.size, 1) * 1.15 + 150 + self.window_size, 4095)\n",
        "                    )\n",
        "            else:\n",
        "                self.stop_inds[b] = 0\n",
        "                self.stopped[b] = False\n",
        "        return all(self.stopped.values()) and len(self.stopped) > 0"
      ],
      "metadata": {
        "id": "Uwm4ap1U8Ylf"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# autoregressively generate tokens, with custom stopping criteria (as defined by the Nougat authors)\n",
        "outputs = model.generate(pixel_values.to(device),\n",
        "                          min_length=1,\n",
        "                          max_length=3584,\n",
        "                          bad_words_ids=[[processor.tokenizer.unk_token_id]],\n",
        "                          return_dict_in_generate=True,\n",
        "                          output_scores=True,\n",
        "                          stopping_criteria=StoppingCriteriaList([StoppingCriteriaScores()]),\n",
        ")"
      ],
      "metadata": {
        "id": "GBmDGixvNVCa"
      },
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Postprocess\n",
        "\n",
        "Finally we decode the generated IDs back to text and postprocess the generation."
      ],
      "metadata": {
        "id": "FXUjNULEjaqP"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "generated = processor.batch_decode(outputs[0], skip_special_tokens=True)[0]\n",
        "generated = processor.post_process_generation(generated, fix_markdown=False)\n",
        "print(generated)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "O6fHHVSKTWpy",
        "outputId": "25e7dde1-f79f-4c91-c8fe-de2be6e8c49e"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "\n",
            "# Nougat: Neural Optical Understanding for Academic Documents\n",
            "\n",
            " Lukas Blecher\n",
            "\n",
            "Correspondence to: lblecher@meta.com\n",
            "\n",
            "Guillem Cucurull\n",
            "\n",
            "Thomas Scialom\n",
            "\n",
            "Robert Stojnic\n",
            "\n",
            "Meta AI\n",
            "\n",
            "The paper reports 8.1M papers but the authors recently updated the numbers on the GitHub page https://github.com/allenai/s2orc\n",
            "\n",
            "###### Abstract\n",
            "\n",
            "Scientific knowledge is predominantly stored in books and scientific journals, often in the form of PDFs. However, the PDF format leads to a loss of semantic information, particularly for mathematical expressions. We propose Nougat (**N**eural **O**ptical **U**nderstanding for **A**cademic Documents), a Visual Transformer model that performs an _Optical Character Recognition_ (OCR) task for processing scientific documents into a markup language, and demonstrate the effectiveness of our model on a new dataset of scientific documents. The proposed approach offers a promising solution to enhance the accessibility of scientific knowledge in the digital age, by bridging the gap between human-readable documents and machine-readable text. We release the models and code to accelerate future work on scientific text recognition.\n",
            "\n",
            "## 1 Introduction\n",
            "\n",
            "The majority of scientific knowledge is stored in books or published in scientific journals, most commonly in the Portable Document Format (PDF). Next to HTML, PDFs are the second most prominent data format on the internet, making up 2.4% of common crawl [1]. However, the information stored in these files is very difficult to extract into any other formats. This is especially true for highly specialized documents, such as scientific research papers, where the semantic information of mathematical expressions is lost.\n",
            "\n",
            "Existing Optical Character Recognition (OCR) engines, such as Tesseract OCR [2], excel at detecting and classifying individual characters and words in an image, but fail to understand the relationship between them due to their line-by-line approach. This means that they treat superscripts and subscripts in the same way as the surrounding text, which is a significant drawback for mathematical expressions. In mathematical notations like fractions, exponents, and matrices, relative positions of characters are crucial.\n",
            "\n",
            "Converting academic research papers into machine-readable text also enables accessibility and searchability of science as a whole. The information of millions of academic papers can not be fully accessed because they are locked behind an unreadable format. Existing corpora, such as the S2ORC dataset [3], capture the text of 12M2 papers using GROBID [4], but are missing meaningful representations of the mathematical equations.\n",
            "\n",
            "Footnote 2: The paper reports 8.1M papers but the authors recently updated the numbers on the GitHub page https://github.com/allenai/s2orc\n",
            "\n",
            "To this end, we introduce Nougat, a transformer based model that can convert images of document pages to formatted markup text.\n",
            "\n",
            "The primary contributions in this paper are\n",
            "\n",
            "* Release of a pre-trained model capable of converting a PDF to a lightweight markup language. We release the code and the model on GitHub3 Footnote 3: https://github.com/facebookresearch/nougat\n",
            "* We introduce a pipeline to create dataset for pairing PDFs to source code\n",
            "* Our method is only dependent on the image of a page, allowing access to scanned papers and books\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "Y0yyOfAOblY7"
      },
      "execution_count": 21,
      "outputs": []
    }
  ]
}